Ramkiran Gouripeddi

Ramkiran Gouripeddi, MBBS, MS

Languages spoken: English

Academic Information

Departments Primary - Biomedical Informatics

Research Interests

  • Machine Learning, Data Mining and Data Wrangling for Translational Research
  • Exposure Health Informatics
  • Clinical Research Informatics
  • Big Data Ecosystems for Research
  • Metadata Discovery and Semantic Data Federation and Integration
  • Biomedical Terminologies and Ontologies
  • Global Health
  • Computational Modeling

Dr. Ram Gouripeddi earned his MS from Arizona State University (2009) and his medical degree from MGR Medical University, India. He is an Assistant Professor in the University of Utah’s Department of Biomedical Informatics.

He has broad interests in clinical and clinical research informatics. He participates in research in which investigators attempt to understand the requirements of the clinical research community and develop the means and tools to enable, accelerate and scale clinical research. In particular, these are in the use of informatics methods for comparative effectiveness research and health-services research; machine learning and data mining for knowledge discovery and personalized medicine; biomedical data modeling; biomedical terminologies and ontologies.

Dr. Gouripeddi was previously a Research Associate with the office of the AVP for Health Sciences Information Technology and continues to work with the FURTHeR team. He played an instrumental role in extending and deploying FURTHeR as a platform for comparative effectiveness research. Dr. Gouripeddi practiced medicine before obtaining his informatics training from Arizona State University.

I believe informatics is trying to create a seamless flow of information between humans using systems in a healthcare setting to make informed decisions. Informatics can also tap into this flow and be a springboard for clinical knowledge discovery and utilization, reducing the lag time between the ‘bench’ and ‘bedside’.

Research Statement

I am an Assistant Professor in the Department of Biomedical Informatics, and a Senior Biomedical Informatics Scientist, Center for Clinical and Translational Science, University of Utah. I lead the research and development of diverse health informatics projects including data integration, metadata discovery, recruitment, streamlining research data and statistical analytics, and machine learning. I have led and participate in multiple data federation and integration projects for clinical and population health research. I am the R&D lead for OpenFurther project, an open source informatics solution for biomedical data integration and federation. I am currently extending its capabilities as a Big Data integration platform including exposomic and sensor data in order to perform environmental biomedical research fpr performing sensor-based epidemiological research. As the Principal Investigator of a bioCADDIE pilot project, I led work in automation of metadata discovery for different biomedical data and using the same within data integration platforms. In previous work, as the informatics principal investigator for the PHIS+, I lead the development of a multi-site data integration project using the OpenFurther technology for performing pediatric clinical and comparative effectiveness research. I am also currently the Utah site informatics lead for the PaTH PCORnet Clinical Data Research Network and the CTSA Accrual to Clinical Trials network. I lead the development of novel approaches for recruitment of participants for clinical trials, and streamlining analytics and provisioning of biomedical data and metadata needed for different biomedical studies undertaken at the University of Utah. I have extensive experience with clinical machine learning including using medical knowledge and temporal modeling. I practiced as a medical doctor managing patients with various conditions. My experience and training as a biomedical informaticist and physician and my lead involvement with multi-site large data projects as well as supporting the needs of clinical and translational research make me uniquely qualified to contribute as co-principal investigator for this CDC project. I will work with Dr. Julio Facelli (Principal Investigator) and other key personnel and staff in advancing the science of data integration for supporting public health surveillance and public health research.

  1. Gouripeddi R, Facelli JC, Bradshaw RL, Schultz D, LaSalle B, Warner PB, Butcher R, Madsen R, Mo P. (2013). FURTHeR: An infrastructure for clinical, translational and comparative effectiveness research. AMIA Annu Symp Proc. 2013:513.
  2. Gouripeddi R (2016). An Informatics Architecture for an Exposome, AMIA 2016 Joint Summits on Translational Science, 2016.
  3. Gouripeddi R, Mo P, Madsen R, Warner P, Butcher R, Wen J, Shao J, Burnett N, Rajan N, LaSalle B, Facelli JC (2016). A Framework for Metadata Management and Automated Discovery for Heterogeneous Data Integration, 2016 BD2K All Hands Meeting, Bethesda, MD, DOI: http://doi.org/10.5281/zenodo.167885
  4. Gouripeddi R, Cummins M, Madsen R, LaSalle B, Harper S, Redd A, Ye X, Presson A, Greene T, Facelli JC (2017). Streamlining Study Design and Statistical Analysis for Quality Improvement and Research Reproducibility, Translational Science 2017. DOI:

Education History

Graduate Training Arizona State University
 MS
Stanley Government Hospital
 Resident
Professional Medical Stanley Medical College, M.G.R. Medical University
 MBBS

Selected Publications

Journal Article

  1. Cambron C, Gouripeddi R, Facelli J (12/04/2022). Healthcare provider reports on social determinants of health in opioid treatment. Psych, 2108506.
  2. Mistry S, Gouripeddi R, Raman V, Facelli JC (2022). Stratifying risk for onset of type 1 diabetes using islet autoantibody trajectory clustering. Diabetologia. (Read full article)
  3. Maitre L, Guimbaud JB, Warembourg C, Gil-Oumrait N, Petrone PM, Chadeau-Hyam M, Vrijheid M, Basagaa X, Gonzalez JR, Alfano R, Basu S, Benavides J, Brosus L, Brunius C, Caceres A, Carli M, Cazabet R, Chattopadhyay S, Chen YH, Chillrud L, Conti D, Gennings C, Gouripeddi R, Iyer SH, Jedynak P, Li H, McGee G, Midya V, Mistry S, Moccia C, Mork SD, Pearce LJ, Peruzzi M, Pescador JM, Reimann B, Roscoe JC, Shen X, Stratakis N, Wang Z, Wang C, Wheeler D, Wilson A, Wu Q, Yu M, Zhao Y, Zou F, Zugna D, Chen R, Chung YC, Jang J, Turyk M (2022). State-of-the-art methods for exposure-health studies: Results from the exposome data challenge event. Environ Int, 168. (Read full article)
  4. Riches NO, Gouripeddi R, Payan-Medina A, Facelli JC (05/01/2022). K-means cluster analysis of cooperative effects of CO, NO2, O3, PM2.5, PM10, and SO2 on incidence of type 2 diabetes mellitus in the US. Environ Res, 212(B).
  5. Passi SF, Butcher R, Orme DR, Warner JEA, Stoddard GJ, Crum AV, Gouripeddi R, Kirk BH, Digre KB, Katz BJ (2022). Increased Incidence of Pseudotumor Cerebri Syndrome Among Users of Tetracycline Antibiotics. J Neuroophthalmol, 42(3), 323-327. (Read full article)
  6. Riches NO, Gouripeddi R, Payan-Medina A, Facelli JC (2022). K-means cluster analysis of cooperative effects of CO, NO(2), O(3), PM(2.5), PM(10), and SO(2) on incidence of type 2 diabetes mellitus in the US. Environ Res, 212(Pt B), 113259. (Read full article)
  7. Passi SF, Butcher R, Orme DR, Warner JEA, Stoddard GJ, Crum AV, Gouripeddi R, Kirk BH, Digre KB, Katz BJ (04/28/2022). Increased Incidence of Pseudotumor Cerebri Syndrome Among Users of Tetracycline Antibiotics . J Neuroophthalmol.
  8. Brown JR, Ricket IM, Reeves RM, Shah RU, Goodrich CA, Gobbel G, Stabler ME, Perkins AM, Minter F, Cox KC, Dorn C, Denton J, Bray BE, Gouripeddi R, Higgins J, Chapman WW, MacKenzie T, Matheny ME (04/05/2022). Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission? . J Am Heart Assoc, 11(7).
  9. Brown JR, Ricket IM, Reeves RM, Shah RU, Goodrich CA, Gobbel G, Stabler ME, Perkins AM, Minter F, Cox KC, Dorn C, Denton J, Bray BE, Gouripeddi R, Higgins J, Chapman WW, MacKenzie T, Matheny ME (2022). Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission? J Am Heart Assoc, 11(7), e024198. (Read full article)
  10. Nelson SJ, Drury B, Hood D, Harper J, Bernard T, Weng C, Kennedy N, LaSalle B, Gouripeddi R, Wilkins CH, Harris P (2021). EHR-based cohort assessment for multicenter RCTs: a fast and flexible model for identifying potential study sites. J Am Med Inform Assoc, 29(4), 652-659. (Read full article)
  11. Mistry S, Gouripeddi R, Raman V, Facelli JC (2022). Stratifying risk for onset of type 1 diabetes using islet autoantibody trajectory clustering. Diabetologia. (Read full article)
  12. Jones D, Shao J, Wallis H, Johansen C, Hart K, Pasquali M, Gouripeddi R, Rohrwasser A (2021). Towards a newborn screening common data model: The utah newborn screening data model. Int J Neonatal Screen, 7(4). (Read full article)
  13. Jones D, Shao J, Wallis H, Johansen C, Hart K, Pasquali M, Gouripeddi R, Rohrwasser A (12/01/2021). Towards a Newborn Screening Common Data Model: The Utah Newborn Screening Data Model. 7(4).
  14. Schliep K, Shepelak Z, Bitter N, Gouripeddi R, Ostbye T, Smith K, Abdelrahman S, Tschanz J (12/01/2021). Detecting early signs of Alzheimer’s disease and related dementia onset from the EHR. Innov Aging, 5(Supplement_1), 646–7.
  15. Nelson SJ, Drury B, Hood D, Harper J, Bernard T, Weng C, Kennedy N, LaSalle B, Gouripeddi R, Wilkins C, Harris P (11/30/2021). EHR-based cohort assessment for multicenter RCTs: a fast and flexible model for identifying potential study sites. J Am Med Inform Assoc, ocab265.
  16. Jones D, Shao J, Wallis H, Johansen C, Hart K, Pasquali M, Gouripeddi R, Rohrwasser A (2021). Towards a Newborn Screening Common Data Model: The Utah Newborn Screening Data Model. Int J Neonatal Screen, 7(4). (Read full article)
  17. Mistry S, Gouripeddi R, Facelli JC, Facelli JC (2021). Data-driven identification of temporal glucose patterns in a large cohort of nondiabetic patients with COVID-19 using time-series clustering. JAMIA Open, 4(3), ooab063. (Read full article)
  18. Bennett TD, Moffitt RA, Hajagos JG, Amor B, Anand A, Bissell MM, Bradwell KR, Bremer C, Byrd JB, Denham A, DeWitt PE, Gabriel D, Garibaldi BT, Girvin AT, Guinney J, Hill EL, Hong SS, Jimenez H, Kavuluru R, Kostka K, Lehmann HP, Levitt E, Mallipattu SK, Manna A, McMurry JA, Morris M, Muschelli J, Neumann AJ, Palchuk MB, Pfaff ER, Qian Z, Qureshi N, Russell S, Spratt H, Walden A, Williams AE, Wooldridge JT, Yoo YJ, Zhang XT, Zhu RL, Austin CP, Saltz JH, Gersing KR, Haendel MA, Chute CG, National COVID Cohort Collaborative N3C Consortium et al, including Gouripeddi R (07/13/2021). Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative. JAMA Netw Open, 4(7), e2116901.
  19. Mistry S, Gouripeddi R, Facelli JC (07/13/2021). Data-Driven identification of temporal glucose patterns in a large cohort of Non-Diabetic patients with COVID-19 using time series clustering. JAMIA Open, 2021(July).
  20. Mistry S, Gouripeddi R, Facelli JC, Facelli JC (2021). Data-driven identification of temporal glucose patterns in a large cohort of nondiabetic patients with COVID-19 using time-series clustering. JAMIA Open, 4(3). (Read full article)
  21. Mistry S, Gouripeddi R, Facelli JC (2021). Erratum: Data-driven identification of temporal glucose patterns in a large cohort of nondiabetic patients with COVID-19 using time-series clustering (JAMIA Open 4:3 DOI: 10.1093/jamiaopen/ooab063). JAMIA Open, 4(3). (Read full article)
  22. Riches NO, Gouripeddi R, Facelli JC (03/30/2021). Assessment of multi-pollutant ambient air composition on type 2 diabetes mellitus using machine learning. J Clin Transl Sci, 5(s1).
  23. Haendel MA, Chute CG, Bennett TD, Eichmann DA, Guinney J, Kibbe WA, Payne PRO, Pfaff ER, Robinson PN, Saltz JH, Spratt H, Suver C, Wilbanks J, Wilcox AB, Williams AE, Wu C, Blacketer C, Bradford RL, Cimino JJ, Clark M, Colmenares EW, Francis PA, Gabriel D, Graves A, Hemadri R, Hong SS, Hripscak G, Jiao D, Klann JG, Kostka K, Lee AM, Lehmann HP, Lingrey L, Miller RT, Morris M, Murphy SN, Natarajan K, Palchuk MB, Sheikh U, Solbrig H, Visweswaran S, Walden A, Walters KM, Weber GM, Zhang XT, Zhu RL, Amor B, Girvin AT, Manna A, Qureshi N, Kurilla MG, Michael SG, Portilla LM, Rutter JL, Austin CP, Gersing KR, Al-Shukri S, Alaoui A, Baghal A, Banning PD, Barbour EM, Becich MJ, Beheshti A, Bernard GR, Bhattacharyya S, Bissell MM, Boulware LE, Bozzette S, Brown DE, Buse JB, Bush BJ, Callahan TJ, Campion TR, Casiraghi E, Chaudhry AA, Chen G, Chen A, Clifford GD, Coffee MP, Conlin T, Cook C, Crandall KA, Deacy M, Dietz RR, Dobbins NJ, Elkin PL, Embi PJ, Facelli JC, Fecho K, Feng X, Foraker RE, Gal TS, Ge L, Golovko G, Gouripeddi R, Greene CS, Gupta S, Gupta A, Hajagos JG, Hanauer DA (2021). The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. J Am Med Inform Assoc, 28(3), 427-443. (Read full article)
  24. Wang Y, Li B, Gouripeddi R, Facelli JC (02/01/2021). Human activity pattern implications for modeling SARS-CoV-2 transmission. . 2021 Feb 1;199:105896. Comput Methods Programs Biomed, 199.
  25. Wang Y, Li B, Gouripeddi R, Facelli JC (2020). Human activity pattern implications for modeling SARS-CoV-2 transmission. Comput Methods Programs Biomed, 199, 105896. (Read full article)
  26. Matheny ME, Ricket I, Goodrich CA, Shah RU, Stabler ME, Perkins AM, Dorn C, Denton J, Bray BE, Gouripeddi R, Higgins J, Chapman W, Mackenzie T, Brown J (2021). Development of Electronic Health Record–Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial Infarction. JAMA Netw Open, 4(1).
  27. Matheny ME, Ricket I, Goodrich CA, Shah RU, Stabler ME, Perkins AM, Dorn C, Denton J, Bray BE, Gouripeddi R, Higgins J, Chapman WW, MacKenzie TA, Brown JR (2021). Development of Electronic Health Record-Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial Infarction. JAMA Netw Open, 4(1), e2035782. (Read full article)
  28. Lin YK, Groat D, Chan O, Hung M, Sharma A, Varner MW, Gouripeddi R, Facelli JC, Fisher SJ (2020). Associations Between the Time in Hypoglycemia and Hypoglycemia Awareness Status in Type 1 Diabetes Patients Using Continuous Glucose Monitoring Systems. Diabetes Technol Ther, 22(11), 787-793. (Read full article)
  29. Haendel MA, Chute CG, Gersing K, for N3C Consortium Authors (08/17/2020). The National COVID Cohort Collaborative (N3C): Rationale, Design, Infrastructure, and Deployment. J Am Med Inform Assoc.
  30. Lund AM, Gouripeddi R, Facelli JC (2020). Generation and Classification of Activity Sequences for Spatiotemporal Modeling of Human Populations. Online J Public Health Inform, 12(1), e9. (Read full article)
  31. Gouripeddi R, Sward K, Cummins M, Eilbeck K, LaSalle B, Facelli JC (06/01/2020). Reproducible Informatics for Reproducible Translational Research. J Clin Transl Sci, 4(s1), 66–7.
  32. Lund AM, Gouripeddi R, Facelli JC (2020). STHAM: an agent based model for simulating human exposure across high resolution spatiotemporal domains. J Expo Sci Environ Epidemiol, 30(3), 459-468. (Read full article)
  33. Lin YK, Groat D, Chan O, Hung M, Sharma A, Varner M, Gouripeddi R, Facelli JC, Fisher SJ (03/23/2020). Associations between the Time in Hypoglycemia and Hypoglycemia Awareness Status in Type 1 Diabetes Patients Using Continuous Glucose Monitoring Systems. Diabetes Technol Ther.
  34. Lund AM, Gouripeddi R, Facelli JC (03/09/2020). STHAM: an agent based model for simulating human exposure across high resolution spatiotemporal domains. J Expo Sci Environ Epidemiol.
  35. Lin YK, Groat D, Chan O, Hung M, Sharma A, Varner MW, Gouripeddi R, Facelli JC, Fisher SJ (2020). Alarm settings of continuous glucose monitoring systems and associations to glucose outcomes in type 1 diabetes. J Endocr Soc, 4(1). (Read full article)
  36. Karsy M, Azab MA, Harper J, Abou-Al-Shaar H, Guan J, Eli I, Brock AA, Ormond RD, Hosokawa PW, Gouripeddi R, Butcher R, Cole CD, Menacho ST, Couldwell WT (2019). Evaluation of a D-Dimer Protocol for Detection of Venous Thromboembolism. World Neurosurg, 133, e774-e783. (Read full article)
  37. Lin YK, Groat D, Chan O, Hung M, Sharma A, Varner MW, Gouripeddi R, Facelli JC, Fisher SJ (2019). Alarm Settings of Continuous Glucose Monitoring Systems and Associations to Glucose Outcomes in Type 1 Diabetes. J Endocr Soc, 4(1), bvz005. (Read full article)
  38. Lin YK, Groat D, Chan O, Hung M, Sharma A, Varner M, Gouripeddi R, Facelli JC, Fisher SJ (11/18/2019). Alarm Settings of Continuous Glucose Monitoring Systems and Associations to Glucose Outcomes in Type 1 Diabetes. J Endocr Soc, 4(1).
  39. Lund AM, Gouripeddi R, Facelli JC (11/11/2019). Generation and Classification of Activity Sequences for Spatiotemporal Modeling of Human Populations.
  40. Karsy M, Azab M, Harper J, Abou-Al-Shaar H, Guan J, Eli I, Brock AA, Gouripeddi R, Butcher R, Cole CD, Menacho ST, Couldwell WT (10/03/2019). Evaluation of a D-dimer Protocol for Detection of Deep Vein Thrombosis. World Neurosurg.
  41. Gouripeddi R, Facelli J, Sward K (10/01/2019). Generating Spatiotemporal Records of Exposure for Utilization in Environment Epidemiology. Environ Epidemiol, 3, 138.
  42. Rajan NS, Gouripeddi R, Mo PWK, Madsen RK, Facelli JC (06/01/2019). Towards a Content Agnostic Computable Knowledge Repository for Characterization of Health Data. Comput Methods Programs Biomed, Volume 177(August 2019), 193-201.
  43. R Bradshaw, R Gouripeddi, J Facelli (02/15/2019). Concept Bag: A New Method for Computing Concept Similarity in Biomedical Data. 2019(Bioinforma), 15–23.
  44. N Burnett, R Gouripeddi (06/01/2018). Development of a Sensor Metadata Library for Exposomic Studies. 2018.
  45. N Burnett, R Gouripeddi (06/01/2018). Representing the Molecular Basis of Exposomic Research. 2018.
  46. McBride S, Thurm C, Gouripeddi R, Stone B, Jaggard P, Shah SS, Tieder JS, Butcher R, Weiser J, Hall M, Keren R, Landrigan CP (2018). Comparison of Empiric Antibiotics for Acute Osteomyelitis in Children. Hosp Pediatr, 8(5), 280-287. (Read full article)
  47. Sarah McBride, Cary Thurm, Ramkiran Gouripeddi, Bryan Stone, Phil Jaggard, Samir Shah, Joel Tieder, Ryan Butcher, Jason Weiser, Matt Hall, Ron Keren, Chris Landrigans (01/08/2018). Comparison of Empiric Antibiotics for Acute Osteomyelitis in Children. Hosp Pediatr.
  48. Jihad S Obeid, Laura M Beskow, Marie Rape, Ramkiran Gouripeddi, Tony Black, James J Cimino, Peter J Embi, Chunhua Weng, Rebecca Marnocha, John B Buse, for the Methods and Process and Informatics Domain Task Force Workgroup (11/01/2017). A Survey of Practices for the Use of Electronic Health Records to Support Research Recruitment. J Clin Transl Sci, 1(4), 246–252.
  49. Neuman MI, Hall M, Lipsett SC, Hersh AL, Williams DJ, Gerber JS, Brogan TV, Blaschke AJ, Grijalva CG, Parikh K, Ambroggio L, Shah SS, Bertoch D, Frederick SA, Gouripeddi RK, Jaggard P, Keren R, Landrigan CP, McBride S, Meystre S, Miller J, Rangel SJ, Simmons JM, Srivastava R, Stone BL, Tanzer L, Tieder JS (2017). Utility of blood culture among children hospitalized with community-acquired pneumonia. Pediatrics, 140(3). (Read full article)
  50. J Shao, R Gouripeddi, J C Facelli (09/01/2017). Semantic characterization of clinical trial descriptions from ClincalTrials.gov and patient notes from MIMIC-III. J Clin Transl Sci, 1(S1), 12.
  51. R Gouripeddi, E Lane, R Madsen, R Butcher, B LaSalle, K Sward, J Fritz, K Facelli, M Cummin, J Shao, R Singleton (09/01/2017). Towards a scalable informatics platform for enhancing accrual into clinical research studies. J Clin Transl Sci, 1(S1), 20-20.
  52. R Gouripeddi, M Cummins, R Madsen, B LaSalle, A Redd, A Presson, X Ye, T Greene, J Facelli, S Harper (09/01/2017). Streamlining study design and statistical analysis for quality improvement and research reproducibility. J Clin Transl Sci, 1(S1), 18-19.
  53. Obeid JS, Beskow LM, Rape M, Gouripeddi R, Black RA, Cimino JJ, Embi PJ, Weng C, Marnocha R, Buse JB (2018). A survey of practices for the use of electronic health records to support research recruitment. J Clin Transl Sci, 1(4), 246-252. (Read full article)
  54. N Burnett, R Gouripeddi (06/01/2017). Harmonization of Sensor Measurements to Support Health Research. (June 2017).
  55. Meystre S, Gouripeddi R, Tieder J, Simmons J, Srivastava R, Shah S (2017). Enhancing Comparative Effectiveness Research With Automated Pediatric Pneumonia Detection in a Multi-Institutional Clinical Repository: A PHIS+ Pilot Study. J Med Internet Res, 19(5), e162. (Read full article)
  56. Stone B, Hester G, Jackson D, Richardson T, Hall M, Gouripeddi R, Butcher R, Keren R, Srivastava R (2017). Effectiveness of Fundoplication or Gastrojejunal Feeding in Children With Neurologic Impairment. Hosp Pediatr, 7(3), 140-148. (Read full article)
  57. Cummins M, Rajan NS, Hodge C, Gouripeddi R (2016). Patterns and Perceptions of Asynchronous Video Discussion in a Graduate Health Sciences Course. J Nurs Educ, 55(12), 706-710. (Read full article)
  58. L Ohno-Machado, Z Agha, D Douglas, L Dahm, M Day, J Doctor, D Gabriel, M Kahlon, K Kim, M Hogarth, M Matheny, D Meeker, J Nebeker, pSCANNER team (2014). pSCANNER: patient-centered SCAlable National Network for Effectiveness Research. J Am Med Inform Assoc.
  59. Gouripeddi R, Warner PB, Mo P, Levin JE, Srivastava R, Shah SS, de Regt D, Kirkendall E, Bickel J, Korgenski EK, Precourt M, Stepanek RL, Mitchell JA, Narus SP, Keren R (2012). Federating clinical data from six pediatric hospitals: process and initial results for microbiology from the PHIS+ consortium. AMIA Annu Symp Proc, 2012, 281-90. (Read full article)
  60. Narus SP, Srivastava R, Gouripeddi R, Livne OE, Mo P, Bickel JP, de Regt D, Hales JW, Kirkendall E, Stepanek RL, Toth J, Keren R (2011). Federating clinical data from six pediatric hospitals: process and initial results from the PHIS+ Consortium. AMIA Annu Symp Proc, 2011, 994-1003. (Read full article)

Review

  1. Mistry S, Riches NO, Gouripeddi R, Facelli JC (2023). Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review. [Review]. Artif Intell Med, 135. (Read full article)
  2. Rajan NS, Gouripeddi R, Mo P, Madsen RK, Facelli JC (2019). Towards a content agnostic computable knowledge repository for data quality assessment. [Review]. Comput Methods Programs Biomed, 177, 193-201. (Read full article)

Book Chapter

  1. Gouripeddi R, Lundrigan P, Kasera S, Collingwood S, Cummins M, Facelli JC, Sward K (05/15/2020). Exposure Health Informatics Ecosystem. In Phillips KA, Dirk P. Yamamoto, LeeAnn Racz (Eds.), Total Exposure Health (1st, pp. 233–78). Boca Raton: CRC Press.
  2. Groat D, Gouripeddi R, Madsen R, Lin Y, Facelli J (08/30/2019). An Architecture to Support Real-World Studies that Investigate the Autonomic Nervous System. In Gadepally V (Ed.), Heterogeneous Data Management, Polystores, and Analytics for Healthcare: VLDB 2019 Workshops, Poly and DMAH (2019, 2019, pp. 196–203). Los Angeles, CA, USA: Springer Nature.
  3. S Meystre, R Gouripeddi (11/17/2018). Clinical Research in the Postgenomic Era. In R. Richesson, J. Andrews (Eds.), Clinical Research Informatics (2nd). Springer International Publishing, 2019.

Conference Proceedings

  1. Gardner R, Wilkins J, Mistry S, Gouripeddi R, Facelli JC (2023). Structural Homology of Epitope Binding Mimicry in the Onset of Type 1 Diabetes Mellitus. 7th Workshop on Computational Methods for the Immune System Function(CMISF 2023), IEEE Computer Society, 2023, 3708–13.
  2. Gouripeddi R, Barlocker J, Alekhina N, Johnny J, Lloyd J, Bah H, Greimes T, Cummins MR (2023). Performance of Containerized Text DEidentification (TIDE) for Deidentification of RECOVER EHR Clinical Notes  . American Medical Informatics Association 2023 Informatics Summit, Seattle, WA: American Medical Informatics Association, 2023.
  3. Sarbhai A, Gouripeddi R, Lundrigan P, Chidambaram P, Saha A, Madsen R, Facelli J, Sward K, Kasera SK (06/20/2022). Utilizing a Blockchain for Managing Sensor Metadata in Exposure Health Studies. 2022 Intermountain Engineering, Technology and Computing (IETC), Orem, UT, USA: IEEE, 2022, 1-6.
  4. Locke BW, Sundar KM, Brown JP, Gouripeddi R (05/05/2022). Common Methods of Identifying Hypercapnic Respiratory Failure Produce Meaningfully Different Cohorts  . B43 ICU MANAGEMENT. American Thoracic Society; 2022, American Thoracic Society International Conference, 2022, A2889–A2889.
  5. Sarbhai A, Gouripeddi R, Lundrigan P, Chidambaram P, Saha A, Madsen R, Facelli J, Sward K, Kasera SK (2022). Utilizing a Blockchain for Managing Sensor Metadata in Exposure Health Studies. In Sarbhai A|Gouripeddi R|Lundrigan P|Chidambaram P|Saha A|Madsen R|Facelli J|Sward K|Kasera SK (Ed.), 2022 Intermountain Engineering, Technology and Computing, IETC 2022. (Read full article)
  6. Tran LT, Gouripeddi R, Facelli JC (10/01/2020). A Harmonized Framework to Evaluate Impacts of ECHO Pain and Opioid Training on Patients and Clinicians. AMIA 2020 Annual Symposium, Chicago, IL, USA.
  7. Riches NO, Facelli J, Gouripeddi, Ram (2020). Exploring Environmental Risk Factors for COVID-19 Mortality and Case Rates in Type 2 Diabetes Using Machine Learning. Climatological, Meteorological, and Environmental factors in the COVID-19 pandemic, 2020.
  8. Gouripeddi R, Wang Y, Li, B, Davis K, Cambron C, Sward, K, Horel, J, Facelli, J (2020). Modeling Environment Factors in Local COVID-19 Emergent PhenomenonClimatological, Meteorological, and Environmental factors in the COVID-19 pandemic2020AGU. Climatological, Meteorological, and Environmental factors in the COVID-19 pandemic, 2020.
  9. Gouripeddi PS, Gouripeddi R, Marur SP (10/10/2019). Toward Machine Learning and Big Data Approaches for Learning Analytics. International Conference on Technology for Education (T4E 2019), Goa, India: IEEE.
  10. Gouripeddi PS, Gouripeddi R, Gouripeddi SP (2019). Toward Machine Learning and Big Data Approaches for Learning Analytics. In Gouripeddi PS|Gouripeddi R|Gouripeddi SP (Ed.), Proceedings - IEEE 10th International Conference on Technology for Education, T4E 2019, 256-257. (Read full article)
  11. D Groat, R Gouripeddi, R Madsen, YK Lin, J Facelli, on August 30th, 2019 (07/01/2019). An Architecture to Support Real-World Studies that Investigate the Autonomic Nervous System. DMAH 2019 : VLDB International Workshop on Data Management and Analytics for Medicine and Healthcare, Los Angeles, California, USA, 2019.
  12. R Gouripeddi, L Tran, R Madsen, T Gangadhar, P Mo, P Warner, N Burnett, R Butcher, K Sward, J Facelli (03/19/2019). An Architecture for Metadata-driven Integration of Heterogeneous Sensor and Health Data for Translational Exposomic Research. 2019 IEEE International Conference on Biomedical and Health Informatics, Chicago, IL, USA: IEEE.
  13. M Mehta, D Groat, Y Lin, R Gouripeddi, Julio Facelli (04/05/2019). Classifying Impaired Awareness of Hypoglycemia with Convolutional Neural Networks. 2019 IEEE International Conference on Biomedical and Health Informatics, Chicago, IL, USA.
  14. Gouripeddi R, Tran LT, Madsen R, Gangadhar T, Mo P, Burnett N, Butcher R, Sward K, Facelli J (2019). An Architecture for metadata-driven integration of heterogeneous sensor and health data for translational exposomic research. In Gouripeddi R|Tran LT|Madsen R|Gangadhar T|Mo P|Burnett N|Butcher R|Sward K|Facelli J (Ed.), 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. (Read full article)
  15. Bradshaw RL, Gouripeddi R, Facelli JC (2019). Concept Bag: A New Method for Computing Concept Similarity in Biomedical Data. In Bradshaw RL|Gouripeddi R|Facelli JC (Ed.), Lect Notes Comput Sc, 11466 LNBI, 15-23. (Read full article)
  16. Groat D, Gouripeddi R, Madsen R, Lin YK, Facelli JC (2019). An Architecture to Support Real-World Studies that Investigate the Autonomic Nervous System. In Groat D|Gouripeddi R|Madsen R|Lin YK|Facelli JC (Ed.), Lect Notes Comput Sc, 11721 LNCS, 196-203. (Read full article)
  17. R Gouripeddi, L Tran, A Lund, R Madsen, J Facelli, K Sward, Systems Demonstration (03/25/2019). The Utah PRISMS Informatics Ecosystem: An Infrastructure for Generating and Utilizing Exposomes for Translational Research. AMIA 2019 Informatics Summit, San Fransisco, CA, USA., 2019.
  18. T Morgan, R Gouripeddi, K Sward (03/25/2019). Characterizing Metadata of e-Devices for Interventional Translational Research. AMIA 2019 Informatics Summit, San Fransisco, CA, USA, 2019.
  19. S Collingwood, R Gouripeddi, B Wong K Sward (08/26/2018). Environmental influences on health outcomes—integrating real-time exposure measures from homes into longitudinal cohort studies: Lessons from the field. The Joint Annual Meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology (ISES-ISEE 2018), Ottawa, Canada: Environmental Health Perspectives,, 2018(1).
  20. V Tiase, R Gouripeddi, K Sward, N Burnett, R Butcher, P Mo, M Cummins (05/02/2018). Advancing Study Metadata Models to Support an Exposomic Informatics Infrastructure. The Joint Annual Meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology (ISES-ISEE 2018)Ottawa, Canada, Ottawa, Canada: Environmental Health Perspectives, ISEE Conference Abstracts, 2018(1).
  21. N Burnett, R Gouripeddi, P Mo, R Madsen, R Butcher, K Sward, J Faceli (05/02/2018). Development of a Sensor Metadata Library for Exposomic Studies. The Joint Annual Meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology (ISES-ISEE 2018), Ottawa, Canada: Environmental Health Perspectives, ISEE Conference Abstracts, 2018(1).
  22. R Gouripeddi, R Madsen, L Tran, P Mo, N Burnett, R Butcher, M Cummins, K Sward, J Faceli (05/02/2018). Generating Consistent Spatio-temporal Events of Exposure for Translational Exposomic Research. The Joint Annual Meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology (ISES-ISEE 2018), Ottawa, Canada: Environmental Health Perspectives, ISEE Conference Abstracts, 2018(1).
  23. S An, A Lund, N Burnett, L Tran, P Mo, R Madsen, K Sward, R Gouripeddi, J Facelli (01/19/2018). Utah PRISMS Ecosystem: An Infrastructure for Personal Exposomic Research. Ygnite 2018, Washington DC.
  24. R Gouripeddi, N Rajan, J Facelli (01/03/2018). A Service Oriented Architecture for Assessing Quality of Heterogeneous Health Data. Methods for Examining Data Quality in Healthcare Integrated Data Repositories, Pacific Symposium on Biocomputing (PSB) 2018, January 3-7, 2018 The Big Island of Hawaii.
  25. Huser V, Kahn MG, Brown JS, Gouripeddi R (2018). Methods for examining data quality in healthcare integrated data repositories. In Huser V|Kahn MG|Brown JS|Gouripeddi R (Ed.), Pac Symp Biocomput, 628-633. (Read full article)
  26. Huser V, Kahn, MG, Brown JS, Gouripeddi R (1/4/2017). Methods for examining data quality in healthcare integrated data repositories. Pacific Symposium on Biocomputing (PSB) 2018, The Big Island of Hawaii, 628–633.
  27. Ram Gouripeddi (10/17/2017). An Infrastructure for Generating Exposomes: Initial Lessons from the Utah PRISMS Platform. In Katherine Sward, Neal Patwari, Ram Gouripeddi, Julio Facelli, (Eds.), In Utah PRISMS Data Integration Platform for Generating Exposomes, 2017 International Society of Exposure Science Annual Meeting, Research Triangle Park, NC, USA.
  28. J Wen, R Gouripeddi, JC Facelli (09/27/2017). Metadata Discovery of Heterogeneous Biomedical Datasets Using Token-Based Features Data. 7th iCatse Conference on IT Convergence and Security, 2017, Seoul, Korea.
  29. Wen J, Gouripeddi R, Facelli JC (2017). Metadata discovery of heterogeneous biomedical datasets using token-based features. In Wen J|Gouripeddi R|Facelli JC (Ed.), Lecture Notes in Electrical Engineering, 449, 60-67. (Read full article)
  30. NS Rajan, R Gouripeddi, JC Facelli (10/12/2016). Measuring Validity of Phenotyping Algorithms across Disparate Data using a Data Quality Assessment Framework. 3rd Workshop on Data Mining for Medical Informatics: Learning Health, Chicago, IL.
  31. Xiaorui Chen, Maureen A Murtaugh, Corinna Koebnick, Srinivasan Beddhu, Jennifer H Garvin, Mike Conway, Younghee Lee, Ramkiran Gouripeddi, Gang Luo (11/05/2016). Dietary Management Software for Chronic Kidney Disease: Current Status and Open Issues.
  32. Chen X, Murtaugh MA, Koebnick C, Beddhu S, Garvin JH, Conway M, Lee Y, Gouripeddi R, Luo G (2016). Dietary management software for chronic kidney disease: Current status and open issues. In Chen X|Murtaugh MA|Koebnick C|Beddhu S|Garvin JH|Conway M|Lee Y|Gouripeddi R|Luo G (Ed.), Lect Notes Comput Sc, 10038 LNCS, 62-72. (Read full article)
  33. R Gouripeddi, N Burnett, J Facelli (08/24/2015). Data, Modeling, Uncertainty and Integration: The Informatics of an Air Quality Exposome. International Society of ExposureScience Annual Meeting 2015, Hendersen, NV.
  34. Mollie R Cummins PhD, RN, FAAN, Ramkiran Gouripeddi MBBS, MS (05/01/2015). Asynchronous media-based discussion to promote scholarly engagement. Symposium on Emerging Technology Trends in Higher Education.
  35. B LaSalle, R Gouripeddi, R Madsen, JFacelli (10/01/2014). Repurposing Health Data Warehouses for Biomedical Research Using OpenFurther. 2014 HDWA Annual Conference, Portland, Maine.
  36. Warner P, Mo P, Schultz N, Gouripeddi R, Duncan J, Facelli J (2014). VIRGO: Virtual identity resolution on the go. In Warner P|Mo P|Schultz N|Gouripeddi R|Duncan J|Facelli J (Ed.), Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014, 366. (Read full article)
  37. Rajan N, Gouripeddi R, Facelli J (2013). A service oriented framework to assess the quality of electronic health data for clinical research. In Rajan N|Gouripeddi R|Facelli J (Ed.), Proceedings - 2013 IEEE International Conference on Healthcare Informatics, ICHI 2013, 482. (Read full article)
  38. R Gouripeddi, ND Schultz, RL Bradshaw, P Mo, RK Madsen, PB Warner, BA LaSalle, JC Facelli (2013). FURTHeR: An Infrastructure for Clinical, Translational and Comparative Effectiveness Research. Fall AMIA Annual Symposium 2013, Washington DC: AMIA.
  39. NS Rajan, R Gouripeddi, JC Facelli (2013). A Service Oriented Framework to Assess the Quality of Electronic Health Data for Clinical Research. IEEE International Conference on Healthcare Informatics 2013, Philadelphia: IEEE, 482.
  40. R Gouripeddi, V Balasubramanian, S Panchanathan, J Harris, A Bhaskaran, and R M Siegel (2009). “Predicting risk of complications following a drug eluting stent procedure: A SVM approach for imbalanced data”. Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium, 1-7.
  41. V N Balasubramanian, R Gouripeddi, S Panchanathan, J Vermillion, A Bhaskaran, and R M Siegel (2009). “Support vector machine based conformal predictors for risk of complications following a coronary Drug Eluting Stent procedure”. Computers in Cardiology, 5-8.
  42. R Gouripeddi, V N Balasubramanian, S Panchanathan, J Harris, A Bhaskaran, and R M Siegel (2009). “Ranking predictors of complications following a drug eluting stent procedure using Support Vector Machines”. Computers in Cardiology, 345-348.
  43. Balasubramanian VN, Gouripeddi R, Panchanathan S, Vermillion J, Bhaskaran A, Siegel RM (2009). Support vector machine based conformal predictors for risk of complications following a coronary drug eluting stent procedure. In Balasubramanian VN|Gouripeddi R|Panchanathan S|Vermillion J|Bhaskaran A|Siegel RM (Ed.), Comput Cardiol, 36, 5-8. (Read full article)
  44. Gouripeddi RK, Balasubramanian VN, Panchanathan S, Harris J, Bhaskaran A, Siegel RM (2009). Ranking predictors of complications following a drug eluting stent procedure using support vector machines. In Gouripeddi RK|Balasubramanian VN|Panchanathan S|Harris J|Bhaskaran A|Siegel RM (Ed.), Comput Cardiol, 36, 345-348. (Read full article)
  45. Gouripeddi R, Balasubramanian V, Panchanathan S, Harris J, Bhaskaran A, Siegel RM (2009). Predicting risk of complications following a drug eluting stent procedure: A SVM approach for imbalanced data. In Gouripeddi R|Balasubramanian V|Panchanathan S|Harris J|Bhaskaran A|Siegel RM (Ed.), IEEE Symposium on Computer - Based Medical Systems. Proceedings. (Read full article)

Abstract

  1. DM Hedges, G Duffley, R Gouripeddi, C Butson (Submitted). The International Neuromodulation Registry: A Graph Database Representation of Patient-Specific Data in Concert with Predictive Modeling for Neuromodulation Therapies [Abstract]. Society of Neuroscience 2018, November 3-7, San Diego, CA. (Epub ahead of print)
  2. M Karsy, M Azab, J Harper, H Abou-Al-Shaar, J Guan, I Eli, A Brock, R Gouripeddi, R Butcher, C Cole, S Menacho, W Couldwell (Submitted). Evaluation of a D-dimer Protocol for Detection of Deep Vein Thrombosis [Abstract]. 2019 AANS Annual Scientific Meeting, San Diego, April 13 - 17, 2019. (Epub ahead of print)
  3. Gouripeddi R, Novoa S, Hernandez EJ, Hernandez-Ruiz J, Madsen R, Cummins M, Sward K, Negrette JC, Benson S, Facelli JC (12/21/2023). Architectural Considerations for a One Health Informatics Ecosystem   [Abstract]. 2024.
  4. Liu G, Riches N, Payan-Medina A, Facelli J, Gouripeddi R (08/05/2021). Using NASA Satellite Data to Link Air Pollution and Health Outcomes [Abstract]. 2021.
  5. R Gouripeddi, J Facelli (06/04/2021). COVID-19 Informatics [Abstract]. 2021.
  6. Mistry S, Gouripeddi R, Facelli J (2/1/2021). Characterizing Temporal Patterns in Glucose Dysregulation Following SARS-CoV-2 Infection [Abstract].
  7. Gouripeddi R, Riches N, Cummins M, Sward K, Facelli J (2/1/2021). Bringing Exposures into Mainstream Translational Research: Informatics Opportunities and Methods [Abstract].
  8. Mistry S, Abdelrahman S, Reno C, Groat D, Gouripeddi R, Fisher SJ, Facelli JC (11/01/2020). Characterizing electrocardiograms of severe hypoglycemia using k-means based clustering [Abstract].
  9. Kitt JP, Sundar K, Gouripeddi R, Pirozzi C, Facelli J (10/26/2020). Epidemiological Investigation of the Impact of Air Quality on Obstructive Sleep Apnea: What can we learn from CPAP devices? [Abstract]. 2020.
  10. Knaeble B, Gouripeddi R (10/26/2020). Sensitivity Analysis and Epidemiologic Triangulation [Abstract]. 2020(1).
  11. Gouripeddi R, Riches N, Kitt J, Sward K, Facelli J (2020 Oct 26). Exposure Health Informatics Methods for Environment Epidemiological Research [Abstract].
  12. Gouripeddi R, Cummins M, Collingwood S, Sward K, Facelli J (06/03/2020). Utilization of a Data and Analytics Infrastructure for Total Exposure Health Research [Abstract]. 2020.
  13. Gouripeddi R, Madsen R, Davis T, Claerhout S, Facelli J, LaSalle B (11/18/2019). ProTrackS: CTSA Hub Project Tracking System [Abstract]. 2020.
  14. Mistry S, Abdelrahman S, Reno C, Groat D, Gouripeddi R, Fisher SJ, Facelli JC (03/01/2020). Characterizing electrocardiograms of severe hypoglycemia using k-means based clustering [Abstract].
  15. Gouripeddi R, Cummins M, Facelli J, Sward K, for CEEHI Members (03/05/2020). Materializing the Exposome: The Center of Excellence for Exposure Health Informatics [Abstract]. 2020.
  16. Gouripeddi R, Tran L, Gangadhar T, Madsen R, Facelli J, Sward K (07/01/2019). Assimilating Pollen into Exposomes for Pediatric Asthma Research [Abstract]. 2019.
  17. Groat D, Gouripeddi R, Madsen R, Lin YK, Dere W, Facelli J (10/24/2019). An Architecture to Support Real-World Studies that Investigate the Autonomic Nervous System [Abstract]. 2019.
  18. Mehta M, Groat D, Lin YK, Gouripeddi R, Facelli J (10/24/2019). Predicting Impaired Awareness of Hypoglycemia with Convolutional Neural Networks [Abstract]. 2019.
  19. Cummins M, Gouripeddi R, Nkoy F, Facelli J, Sward K (10/23/2019). Utah PRISMS Center: Sensor-Based, Data Intensive Science [Abstract]. 2019.
  20. Cummins M, Habre R, Gouripeddi R, Nkoy F, Facelli J, Sward K (10/23/2019). Compatibility of Sensor Study Data Elements with ECHO [Abstract]. 2019.
  21. Sarbhai A, Gouripeddi R, Lundrigan P, Chidambaram P, Saha A, Facelli J, Sward K, Kasera S (10/03/2019). Managing Sensor Metadata in Exposomic Studies Using Blockchain [Abstract]. The Air We Breathe: A Multidisciplinary Perspective on Air Quality.
  22. Riches NO, Gouripeddi R, Perry K, Handy R (10/03/2019). Informatics Methods for Characterizing Multi-pollutant Air Quality Exposure on Health [Abstract]. The Air We Breathe: A Multidisciplinary Perspective on Air Quality.
  23. Gouripeddi R, Cummins M, Facelli J, Sward K, CEEHI Members (10/03/2019). Materializing the Air Quality Exposome: The Center of Excellence for Exposure Health Informatics [Abstract]. The Air We Breathe: A Multidisciplinary Perspective on Air Quality.
  24. Gangadhar T, Sarbhai A, Gouripeddi R, Kasera S (10/03/2019). Fusing Citizen Symptomology with Air Quality Data: Improving Detection of Bad Air Days [Abstract].
  25. An S, Gouripeddi R, Facelli J (10/03/2019). Air Quality Personal Exposure Modeling for Translational Research [Abstract].
  26. Tran LT, Madsen R, Gangadhar T, Sward K, Facelli J, Gouripeddi R (10/03/2019). Generating the Air Quality Exposome [Abstract].
  27. Kitt JP, Martin R, Sundar K, Pirozzi C, Gouripeddi R, Harris JM, Facelli JC (10/03/2019). Informatics and Chemistry: Examining the Impact of Particulate Matter Chemical Composition on Pulmonary Disease Outcomes [Abstract].
  28. Gouripeddi R, Facelli J, Sward K (2019). Generating Spatiotemporal Records of Exposure for Utilization in Environment Epidemiology [Abstract].
  29. Eckel S, Li K, Deng H, Xu S, Habre R, Girguis M, Bui A, Sward K, Gouripeddi R, Collingwood S, Urman R, Morrison J, Franklin M, Ambite J, Chiang Y, Stripelis D, Lin Y, Gilliland F (08/19/2019). Statistical and machine learning methods for using sensor monitoring systems to predict asthma exacerbations [Abstract].
  30. Gouripeddi R, Groat D, Collingwood S, Sward K, Facelli J (08/19/2019). Development of a Data and Analytics Infrastructure for Total Exposure Health Research [Abstract].
  31. Gouripeddi R, Habre R, and the PRISMS Data Modeling Working Group (08/18/2019). Developing a Specification for Representing Exposure Health Semantics [Abstract].
  32. R Gouripeddi, M Cummins, J Facelli, K Sward (06/01/2109). The Utah PRISMS Informatics Ecosystem: An Infrastructure for Translational Reproductive Health Research [Abstract].
  33. Lopez-Campos G, Hawthorn C, Kiossoglou P, Gouripeddi R, Borda A, Gray K, Martin-Sanchez F, Verspoor K (05/20/2019). Characterising the Scope of Exposome Research: A Generalisable Approach [Abstract].
  34. R Gouripeddi, D Groat, S Abdelrahman, T Cheatham, M Cummins, K Eilbeck, B LaSalle, K Sward, J Facelli (01/18/2019). Development of a Competency-based Informatics Course for Translational Researchers [Abstract]. Translational Science 2019, Washington DC.
  35. D Goat, R Gouripeddi, YK Lin, J Facelli (01/18/2019). Measuring the Autonomic Nervous System for Translational Research: Identification of Non-invasive Methods [Abstract]. Translational Science 2019, Washington DC.
  36. R Gouripeddi, A Miller, K Sward, J Facelli (01/18/2019). Systematically Integrating Microbiomes and Exposomes for Translational Research [Abstract]. Translational Science 2019, Washington DC.
  37. D Groat, YK Lin, R Gouripeddi, J Facelli (10/02/2018). Assimilation of Patient Reported Data and Device Recorded Data for Determining Impaired Awareness of Hypoglycemia [Abstract]. 2018 Diabetes and Metabolism Research Center and Driving Out Diabetes Initiative Fall Retreat, Salt Lake City, UT, USA.
  38. Ram Gouripeddi, Scott Collingwood, Bob Wong, Mollie Cummins, Julio Facelli, Katherine Sward (09/06/2018). The Utah PRISMS Informatics Ecosystem: An Infrastructure for Generating and Utilizing Exposomes for Translational Research [Abstract]. Total Exposure Health Conference 2018, Bethesda, 6-7 September, 2018.
  39. D Groat, R Gouripeddi, Y Lin, W Dere, M Murray, P Gesteland, J Facelli (06/15/2018). Identification of High-Level Formalisms that Support Translational Research Reproducibility [Abstract]. Research Reproducibility 2018, Salt Lake City, UT, USA.
  40. J Shao, R Gouripeddi, J Facelli (06/15/2018). Improving Clinical Trial Research Reproducibility using Reproducible Informatics Methods [Abstract]. Research Reproducibility 2018, Salt Lake City, UT, USA.
  41. R Gouripeddi, D Chang, M Cummins, J Facelli, K Sward (06/06/2018). An Environmental Scan of Global Air Quality Research for Developing Global Exposomic Informatics Infrastructure [Abstract]. Global Environmental Health Day 2018, Research Triangle, NC, USA.
  42. R Gouripeddi, D Groat, A Lund, A Miller, K Sward, J Facelli (06/15/2018). Performing Reproducible Translational Research by Integrating Immunomes and Exposomes [Abstract]. Research Reproducibility, Salt Lake City, UT, USA.
  43. A Lund, D Groat, R Gouripeddi, J Facelli, K Sward (05/11/2018). Using the Utah PRISMS Informatics Ecosystem to Bridge Gaps Between Exposomic and Immunological Research [Abstract]. III Initiative Spring 2018 Symposium, Salt Lake City, UT, USA.
  44. R Gouripeddi, M Cummins, B LaSalle, K Sward, W Dere, J Faceli (06/15/2018). Towards Reproducible Translational Research using Templates [Abstract]. Research Reproducibility 2018, Salt Lake City, UT, USA.
  45. R Gouripeddi, D Groat, A Lund, A Miller, K Sward, J Faceli (06/15/2018). Performing Reproducible Translational Research by Integrating Immunomes and Exposomes [Abstract]. Research Reproducibility 2018, Salt Lake City, UT, USA.
  46. R Gouripeddi, A Lund, N Burnett, L Tran, P Mo, R Madsen, M Cummins, K Sward, J Faceli (06/15/2018). Enabling Reproducible Computational Modeling: The Utah PRISMS Ecosystem [Abstract]. Research Reproducibility 2018, Salt Lake City, UT, USA.
  47. D Groat, R Gouripeddi, Y Lin, W Dere, and J Facelli (04/19/2018). Developing an Informatics Framework to Conduct Translational Research of Complex Diseases [Abstract]. Translational Science 2018, Washington, DC, USA, 2018.
  48. Burnett N, Gouripeddi R, Cummins M, Facelli J, Sward K (03/14/2018). Towards a Molecular Basis of Exposomic Research [Abstract]. AMIA 2018 Informatics Summit.
  49. D Groat, R Gouripeddi, W Dere, J Facelli (05/08/2018). Development of a Framework for Scalable On-demand Data Integration for Complex Diseases [Abstract]. AMIA 2018 Clinical Informatics Conference, May 08 - 10, 2018 Scottsdale, AZ.
  50. Samir Abdelrahman, Ram Gouripeddi, Jianyin Shao, Ryan Butcher, Janette Vasquez, Bernie LaSalle, Julio Facelli (04/19/2018). Temporal Characterization of Clinical Trial Descriptions [Abstract]. Translational Science 2018.
  51. Ram Gouripeddi, Rishi Deka, Thomas Reese, Ryan Butcher, Bradley Martin, Jeff Talbert, Bernie LaSalle, Julio Facelli, Diana Brixner (04/19/2018). Reproducibility of Electronic Health Record Research Data Requests [Abstract]. Translational Science 2018, April 19-21, Washington, D.C.
  52. Ram Gouripeddi, Peter Mo, Linda Edelman, Mollie Cummins (04/19/2018). Graphical Methods for Discovering Opioid Misuse Trajectories [Abstract]. Translational Science 2018, Washington, D.C.
  53. Ramkiran Gouripeddi, Nicole Burnett, Mollie Cummins, Julio Facelli, Katherine Sward (11/04/2017). A Conceptual Representation of Exposome in Translational Research [Abstract]. AMIA 2017 Annual Symposium.
  54. Burnett N, Gouripeddi R, Wen J, Mo P, Madsen R, Butcher R, Sward K, Facelli J (10/19/2017). Harmonization of Sensor Metadata and Measurements to Support Exposomic Research [Abstract]. 2017 International Society of Exposure Science Annual Meeting.
  55. Facelli JC, LaSalle B, Cheatham T, Gouripeddi R, Lee Y, Abdalrahman S (2017). ICITCS2017 Tutorial in Translational Informatics: Balancing Functionality and Security [Abstract]. 7th ICITCS 2017 : iCatse International Conference on IT Convergence and Security, Sep 25, 2017 - Sep 28, 2017, Seoul, Korea.
  56. R Gouripeddi, J Facelli, K Sward, for the Utah PRISMS Team (03/30/2017). The Utah PRISMS Infrastructure for Generating Air Quality Exposomes, [Abstract]. Air Quality: Science for Solutions.
  57. A Lund, N Burnett, R Gouripeddi, J Facelli (03/30/2017). An agent-based model for estimating human activity patterns on the Wasatch Front [Abstract]. Air Quality: Science for Solutions.
  58. Nicole Burnett, Peter Mo, Jingran Wen, Randy Madsen, Ram Gouripeddi, Julio C Facelli (2/17/2017). Harmonization of Sensor Measurements to Support Health Research [Abstract]. Utah Conference on Undergraduate Research, Utah Valley University, February 17, 2017.
  59. Nicole Burnett, Ram Gouripeddi (01/24/2017). Enabling an Air Quality Exposome for Salt Lake Citizens [Abstract]. Research on Capitol Hill 2017, Utah State Capitol, Salt Lake City, January 24, 2017.
  60. Ram Gouripeddi (01/19/2017). Making the Case for Informatics in Global Health [Abstract]. Extreme Affordability: Disrupting Barriers to Strengthen Global Health, Salt Lake City, Utah, January 19-21, 2017.
  61. Jean Fredo Louis, Ram Gouripeddi (01/19/2017). Towards a Framework for Global Health Information Translation [Abstract]. Extreme Affordability: Disrupting Barriers to Strengthen Global Health, Salt Lake City, Utah, January 19-21, 2017.
  62. Jingran Wen, Ramkiran Gouripeddi, Julio C Facelli (11/28/2016). A Machine Learning Approach for Data Source and Type Identification to Support Metadata Discovery [Abstract]. 2016 BD2K All Hands Meeting, Bethesda, MD, November 29-30, 2016.
  63. Ramkiran Gouripeddi, Peter Mo, Randy Madsen, Phillip Warner, Ryan Butcher, Jingran Wen, Jianyin Shao, Nicole Burnett, Naresh Sundar Rajan, Bernie LaSalle, Julio C Facelli (11/28/2016). A Framework for Metadata Management and Automated Discovery for Heterogeneous Data Integration [Abstract]. 2016 BD2K All Hands Meeting, Bethesda, MD, November 29-30, 2016.
  64. J Shao, R Gouripeddi, JC Facelli (10/14/2016). Improving Clinical Trial Cohort Definition and Enrollment with Distributional Semantic Matching [Abstract]. Research Reproducibility Conference, Salt Lake City.
  65. MR Cummins, R Gouripeddi, J Facelli (10/14/2016). A low-cost, low-barrier clinical trials registry to support effective recruitment [Abstract]. Research Reproducibility Conference, Salt Lake City.
  66. J Wen, P Mo, R Madsen, R Butcher, P Warner, R Gouripeddi, JC Facelli (10/14/2016). Metadata Discovery and Integration to Support Reproducible Research using the OpenFurther Platform [Abstract].
  67. R Gouripeddi, P Warner, R Madsen, P Mo, N Burnett, J Wen, A Lund, R Butcher, M Cummins, J Facelli, K Sward (10/14/2016). An Infrastructure for Reproducible Exposomic Research [Abstract]. Research Reproducibility Conference, Salt Lake City.
  68. R Gouripeddi, K Eilbeck, M Cummins, K Sward, B LaSalle, K Peterson, R Madsen, P Warner, W Dere, JC Facelli (10/14/2016). A Conceptual Architecture for Reproducible On-demand Data Integration for Complex Diseases, [Abstract]. Research Reproducibility Conference, Salt Lake City.
  69. R Gouripeddi, K Eilbeck, M Cummins, K Sward, B LaSalle, K Peterson, R Madsen, P Warner, W Dere, JC Facelli (10/14/2016). A Conceptual Architecture for Reproducible On-demand Data Integration for Complex Diseases, [Abstract]. Research Reproducibility Conference, Salt Lake City.
  70. R Butcher, R Gouripeddi, R Madsen, P Mo, B LaSalle (10/14/2016). Research Data Service [Abstract]. Research Reproducibility Conference, Salt Lake City.
  71. R Gouripeddi, MR Cummins, R Madsen, B LaSalle, A Redd, X Ye, A Presson, T Greene, J Facelli (10/14/2016). Streamlining Study Design and Statistical Analysis [Abstract]. Research Reproducibility Conference, Salt Lake City.
  72. Habre R, Ambite JL, Bui A, Cummins M, Dellarco M, Eckel S, Gouripeddi R, Sward K (10/09/2016). Pediatric Research Using Integrated Sensor Monitoring Systems, Data Modeling Working Group [Abstract]. 2016 International Society of Exposure Science Annual Meeting, Utrecht, The Netherlands.
  73. N Burnett, P Mo, N Rajan, R Madsen, R Gouripeddi J Facelli (2/19/2016). A Framework for Validating Modeled Air Quality Data in Health Research [Abstract]. 2016 Utah Conference on Undergraduate Research.
  74. R Gouripeddi, R Madsen, P Mo, R, Butcher, B LaSalle, J Facelli (11/12/2015). Metadata Discovery and Integration to Support Repurposing of Heterogeneous Data using the OpenFurther Platform [Abstract]. 2015 BD2K All Hands Meeting, Natcher Conference Center, Building 45, NIH Main Campus, Bethesda, MD.
  75. R Butcher, M Martial, R Gouripeddi, M Cummins (10/17/2015). Semantic Interoperability of National Poison Center Data [Abstract]. SNOMED CT Expo 2015, Montevideo, Uruguay.
  76. Samuel F Passi, Ryan Butcher, Judith Warner, Bradley Katz, Alison Crum, Ramkiran Gouripeddi, Kathleen Digre (04/01/2015). Incidence of Idiopathic Intracranial Hypertension (IIH) Among Users of Tetracycline Antibiotics [Abstract]. 41st NANOS Annual Meeting, 2015, (North American Neuro-ophthalmology Society).
  77. Stphane M Meystre, Abdulrahman Khalifa, Ramkiran Gouripeddi, Shawn J Rangel (March 26, 2015). Automatic Extraction of Pediatric Acute Appendicitis Treatment Devices from Diagnostic Imaging Reports in a Multi-Institutional Clinical Repository [Abstract]. AMIA CRI 2015.
  78. Mollie R Cummins PhD, RN, FAAN1, 2, Ramkiran Gouripeddi MBBS, MS2 (02/01/2015). Asynchronous media-based discussion to promote scholarly engagement [Abstract]. Symposium on Emerging Technology Trends in Higher Education, University of Utah.
  79. Bryan Stone, Gabriella Zimbric, Daniel Jackson, Troy Richardson, Matt Hall, Ramkiran Gouripeddi, Ryan Butcher, Ron Keren, Raj Srivastava (01/01/2015). Management of Gastroesophageal Reflux Risk in Children with Neurologic Impairment and Gastrostomy Feeding: a PHIS+ Study [Abstract]. PAS 2015 Annual Meeting.
  80. R Gouripeddi, R Butcher, P Warner, P Mo (11/01/2014). Combined Utilization of SNOMED CT with LOINC for Comparative Effectiveness Research [Abstract]. SNOMED CT Implementation Showcase 2014.
  81. Ramkiran Gouripeddi, NS Rajan, R Madsen, P Warner, Julio C Facelli (11/01/2014). Federating Air Quality Data with Clinical Data [Abstract]. American Medical Informatics Association Fall Symposium 2014.
  82. Phillip Warner, Ramkiran Gouripeddi, Peter Mo, Jeff Duncan, Dustin Schultz, Julio C Facelli (09/01/2014). VIRGO: Virtual Identity Resolution on the Go [Abstract]. IEEE International Conference on Healthcare Informatics 2014 (ICHI 2014).
  83. P Mo, ND Schultz, RL Bradshaw, R Butcher, R Gouripeddi, PB Warner, RK Madsen, B LaSalle, JC Facelli (2014). Real-time Federated Data Translations using Metadata-driven XQuery [Abstract]. AMIA CRI Spring 2014.
  84. R Gouripeddi, R Butcher, P Warner, P Mo (2014). Minimizing Data-Transformational Information Loss in Comparative Effectiveness Research Infrastructure [Abstract]. Electronic Data Methods (EDM) Forum Annual Symposium 2013.
  85. R Butcher, R Gouripeddi, R Madsen, BS, J C Facelli (2013). Using Primitive Role Relationships in SNOMED to Enhance Concept Searching by Limiting Semantic Variability in FURTHeR [Abstract]. Fall AMIA Annual Symposium 2013.
  86. RK Madsen, RL Bradshaw, ND Schultz, R Butcher, R Gouripeddi, J A Mitchell, JC Facelli (2013). Knowledge Driven Inclusion and Exclusion Criteria Refinement within the FURTHeR Framework [Abstract]. Fall AMIA Annual Symposium 2013.
  87. PB Warner, P Mo, D Schultz, R Gouripeddi, JC Facelli (2013). On the Fly Linkage of Records Containing Protected Health Information (PHI) Within the FURTHeR Framework [Abstract]. Fall AMIA Annual Symposium 2013.
  88. RL Bradshaw, ND Schultz, R Madsen, R Gouripeddi, R Butcher, BA LaSalle, JC Facelli (2013). Going FURTHeR with Three Federated Query Types [Abstract]. Fall AMIA Annual Symposium 2013.
  89. P Mo, RK Madsen, RL Bradshaw, ND Schultz, R Butcher, BA LaSalle, R Gouripeddi, JC Facelli (2013). Federating caTissue with FURTHeR [Abstract]. Fall AMIA Annual Symposium 2013.
  90. ND Schultz, BA LaSalle, S He, R Gouripeddi, R Butcher, JC Facelli (2013). Creating a Secure, Easily Accessible Environment for PHI Data Exports within FURTHeR utilizing REDCap [Abstract]. Fall AMIA Annual Symposium 2013.
  91. R Gouripeddi, R Madsen, RL Bradshaw, ND Schultz, R Butcher, PB Warner, P Mo, BA LaSalle, JC Facelli (2013). Initial Lessons for Developing a User-Interface for Querying Federated Heterogeneous Data Sources [Abstract]. WISH 2013: Workshop on Interactive Systems in Healthcare 2013.
  92. SM Meystre, R Gouripeddi, A Trivedi, SD Rangel (2013). Pediatric Acute Appendicitis Treatment Devices Automatic Extraction from Diagnostic Imaging Reports in a Multi-Institutional Clinical Repository [Abstract]. Fall AMIA Annual Symposium 2013.
  93. R Gouripeddi, ND Schultz, R Butcher, P Mo, RL Bradshaw, R Madsen, PB Warner, BA LaSalle, JC Facelli (2013). OpenFurther: Federating and Generating OMOP Datasets [Abstract]. OMOP-IMEDS 2013 Symposium.
  94. R Butcher, R Gouripeddi, R Madsen, JC Facelli (2013). Enhanced Concept Selection Using SNOMED CT Primitives [Abstract]. SNOMED CT Implementation Showcase 2013.
  95. R Gouripeddi, R Butcher, PB Warner, P Mo (2013). Using SNOMED CT in Building a Database for Comparative Effectiveness Research [Abstract]. SNOMED CT Implementation Showcase 2013.
  96. R Gouripeddi, R Butcher, PB Warner, P Mo, LD Tanzer, R Srivastava, R Keren (2013). Use of Standardized Terminologies in Federating Clinical Data from Six Pediatric Hospitals for Comparative Effectiveness Research: Lessons Learned from the PHIS+ Consortium [Abstract]. Electronic Data Methods (EDM) Forum Annual Symposium 2013.
  97. R Gouripeddi, JA Mitchell, R Srivastava, L Tanzer, R Keren (2013). FURTHeR: A Comparative Effectiveness Research Infrastructure for PHIS+ [Abstract]. Annual Research Meeting 2013, Academy Health, Baltimore.
  98. R Butcher, R Gouripeddi, JA Mitchell (2013). "FURTHeR’s Approach Towards Optimizing the Value and Meaning of Data Retrieved from Disparate Data Sources by Leveraging a Robust Terminology Server and Mapping Across Coding Schemes" [Abstract]. AMIA 2013, Clinical Research Informatics.
  99. R Gouripeddi, P Warner, R Butcher, P Mo, JA Mitchell (2013). "Automating Terminology Mappings in FURTHeR for Building Federated Databases" [Abstract]. AMIA 2013, Clinical Research Informatics.
  100. R Butcher, RK Madsen, R Gouripeddi, A Bernasconi, R Bradshaw, JA Mitchell (2013). "Managing Terminology for caTissue using FURTHeR’s Instance of a Robust Terminology System" [Abstract]. AMIA 2013, Clinical Research Informatics.
  101. S Meystre, R Gouripeddi, SS Shah, JA Mitchell (2013). Automatic Pediatric Pneumonia Characteristics Extraction from Diagnostic Imaging Reports in a Multi-Institutional Clinical Repository [Abstract]. AMIA 2013, Clinical Research Informatics.
  102. R Madsen, R L Bradshaw, D Shultz, R Gouripeddi, N Hulse, S Narus, M Jackson, and J A Mitchell (2012). “Federating clinical and biospecimen data using FURTHeR” [Abstract]. AMIA Annual Symposium Proceedings, 2012.
  103. B A LaSalle, R L Bradshaw, R Gouripeddi (2012). "Transforming Investigator Initiated Clinical Research: Adoption of CDSIC Data Standards" [Abstract]. Clinical and Translational Science Awards Annual Meeting 2012, Chicago, IL.

Other

  1. Mistry S, Gouripeddi R, Facelli JC (2021). Erratum to: Data-driven identification of temporal glucose patterns in a large cohort of nondiabetic patients with COVID-19 using time-series clustering. JAMIA Open (4(3), pp. ooab080). United States. (Read full article)
  2. Ram Gouripeddi, Randy Madsen, Bernie LaSalle, Julio Facelli (11/10/2014). CHPC Support of Biomedical Research Enterprise. Center for High Performance Computing Newsletter (Fall 2014). Salt Lake City: Center for High Performance Computing, University of Utah.

Report

  1. Ramkiran Gouripeddi, Ryan Butcher, Peter Mo, Randy Madsen, Phillip Warner, Naresh Rajan, Bernie LaSalle, Julio Facelli (10/01/2016). A Proof-of-Concept Federation of UDOH Data Resources using OpenFurther. Utah Department of Health.
  2. Ramkiran Gouripeddi, Ryan Butcher, Peter Mo, Randy Madsen, Phillip Warner, Naresh Rajan, Bernie LaSalle, Julio Facelli (10/01/2016). Evaluation of DIADS for Quality Measure Reporting. Utah Department of Health.