Samir E. Abdelrahman

Samir E. Abdelrahman, MSc, PhD

Languages spoken: English

Academic Information

Departments Primary - Biomedical Informatics

Academic Office Information

samir.abdelrahman@utah.edu

Research Interests

  • Time Series Analysis
  • Ontology and Interpretation
  • Data Mining in Biomedical Informatics
  • Big Data Analytics
  • Visual Analytics
  • Predictive Analytics
  • Machine Learning
  • Information Retrieval
  • Information Extraction
  • Artificial Intelligence

Dr. Abdelrahman is a biomedical informatics research assistant professor (part-time) at the University of Utah and an adjunct computer science full professor at Cairo University (Egypt). Also, he is a lead data scientist at a multinational company (USA).

Dr. Abdelrahman earned B.Sc. in Operations Research and he has MSc and PhD. in computer science (artificial intelligence domain). He has trained as a research scholar in highly prestigious universities, namely the University of Minnesota at Twin Cities, Vanderbilt University, the University of Illinois at Urbana–Champaign, and the University of Utah. Since 2010, he has been a research scholar in the biomedical informatics domain. He has conducted several predictive analytics projects at the University of Utah Health Care to predict patient risk factors and outcomes in congestive heart failure readmissions, clinic appointment no-shows/last-minute cancellations, bleeding or readmission events following left ventricular assist device implantation, pneumonia mortality, and sepsis. Throughout his academic career, Dr. Abdelrahman taught several computer science courses such as artificial intelligence, machine learning, data mining, concepts of programming languages, programming in [C#, Java, Python, and declarative languages], data structures, algorithms, compilers, databases, and operating systems. He also mentored around 20 Ph.D./M.Sc. Students and supervised over fifteen undergraduate projects.

Research Statement

Dr. Abdelrahman main research interests are data mining, visual analytics, multi-agent, information retrieval, and information extraction using natural language processing and ontologies. His current research is directed to conduct advanced big data analytics and modeling to devise computational algorithms and frameworks for biomedical computing. These solutions primarily tackle clinical data analytics problems such as temporal behaviors, data heterogeneity (structured and free-text), missing data, imbalance, and sparseness. His research lab conducts intelligent computing projects of (1) data analytics for biomedical computing, and (2) computational algorithms for real-life applications.

Education History

Research Fellow University of Utah
 Postdoctoral Research Fellow
Research Fellow University of Illinois at Urbana-Champaign
 Postdoctoral Research Fellow
Research Fellow Vanderbilt University
 Postdoctoral Research Fellow
Doctoral Training Cairo University, Faculty of Computers and Information
 PhD
Graduate Training Cairo University, Computer Science Department, Institute of Statistical and Science Research
 MSc
Diploma Cairo University, Computer Science Department, Institute of Statistical and Science Research
 Diploma
Undergraduate King Saud University
 BSc

Selected Publications

Journal Article

  1. Wray CM, Vali M, Walter LC, Christensen L, Abdelrahman S, Chapman W, Keyhani S (2021). Examining the Interfacility Variation of Social Determinants of Health in the Veterans Health Administration. Fed Pract, 38(1), 15-19. (Read full article)
  2. Morid MA, Sheng ORL, Kawamoto K, Abdelrahman S (2020). Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction. J Biomed Inform, 111, 103565. (Read full article)
  3. Ochs-Balcom HM, Kanth P, Farnham JM, Abdelrahman S, Cannon-Albright LA (2020). Colorectal cancer risk based on extended family history and body mass index. Genet Epidemiol, 44(7), 778-784. (Read full article)
  4. Morid MA, Sheng ORL, Del Fiol G, Facelli JC, Bray BE, Abdelrahman S (2020). Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury. JMIR Med Inform, 8(3), e14272. (Read full article)
  5. Vazquez J, Abdelrahman S, Byrne M, Russell M, Harris P, Facelli J (2020). Using supervised machine learning classifiers to estimate likelihood of participating in clinical trials of a de-identified version of ResearchMatch. J Clin Transl Sci, 5(42), 1-26.
  6. Hassan B, Abdelrahman S, Bahgat R, Farag I (2019).  UESTS: An Unsupervised Ensemble Semantic Textual Similarity Method. 7, 85462 - 85482.
  7. Conway M, Keyhani S, Christensen L, South BR, Vali M, Walter LC, Mowery DL, Abdelrahman S, Chapman WW (2019). Moonstone: a novel natural language processing system for inferring social risk from clinical narratives. J Biomed Semantics, 10(1), 6. (Read full article)
  8. Morid MA, Sheng ORL, Kawamoto K, Ault T, Dorius J, Abdelrahman SE (03/21/2019). Healthcare Cost Prediction: Leveraging Fine-grain Temporal Patterns. J Biomed Inform, Volume 91, 103113-103123.
  9. Bian J, Abdelrahman SE, Shi J, Del Fiol G (03/21/2019). Automatic identification of recent high impact clinical articles in PubMed to support clinical decision making using time-agnostic features. J Biomed Inform, Volume 89, 1-10.
  10. Morid MA, Sheng ORL, Kawamoto K, Ault T, Dorius J, Abdelrahman S (2019). Healthcare cost prediction: Leveraging fine-grain temporal patterns. J Biomed Inform, 91, 103113. (Read full article)
  11. Bian J, Abdelrahman S, Shi J, Del Fiol G (2018). Automatic identification of recent high impact clinical articles in PubMed to support clinical decision making using time-agnostic features. J Biomed Inform, 89, 1-10. (Read full article)
  12. AbdelRahman SE, Basma Hassan, Reem Bahgat (2010/10). A New Email Retrieval Ranking Approach. 2(5), 44-63.
  13. Mahmoud A Mahdi, AbdelRahman SE, and Reem Bahgat (2018). A High-Performing Similarity Measure for Categorical Dataset with SF-Tree Clustering Algorithm. 9(5), 496-509.
  14. Morid MA, Kawamoto K, Ault T, Dorius J, Abdelrahman S (2018). Supervised Learning Methods for Predicting Healthcare Costs: Systematic Literature Review and Empirical Evaluation. AMIA Annu Symp Proc, 2017, 1312-1321. (Read full article)
  15. Eman Negm, AbdelRahman SE, Reem Bahgat (2017). PREFCA: A portal retrieval engine based on formal concept analysis. Inf Process Manag, 53(1), 203-222.
  16. Amr M Sayed, AbdelRahman SE, Reem Bahgat, Aly Fahmy (2016). Time Emotional Analysis of Arabic Tweets at Multiple Levels. 7(10), 336-324.
  17. Velupillai S, Mowery DL, Abdelrahman S, Christensen L, Chapman WW (2015). Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes. AMIA Annu Symp Proc, 2015, 1252-9. (Read full article)
  18. AbdelRahman SE, Mobarz H, Rashown M, Farag I (2014). Arabic Phrase Level Contextual Polarity Recognition to Enhance Sentiment Arabic Lexical Semantic Database Generation. 5(10).
  19. AbdelRahman SE, Zhang M, Bray BE, Kawamoto K (2014). A three-step approach for the derivation and validation of high-performing predictive models using an operational dataset: congestive heart failure readmission case study. BMC Med Inform Decis Mak, 14, 41. (Read full article)
  20. Sayed S, AbdelRahman SE, Farag I (2012). Three-Phase Tournament-Based Method For Better Email Classification. Int J Artif Intell Appl, 3(6), 49-56.
  21. Elarnaoty M, AbdelRahman SE, Fahmy A (2012). A Machine Learning Approach For Opinion Holder Extraction. Int J Artif Intell Appl.
  22. Xu H, AbdelRahman S, Lu Y, Denny JC, Doan S (2011). Applying semantic-based probabilistic context-free grammar to medical language processing--a preliminary study on parsing medication sentences. J Biomed Inform, 44(6), 1068-75. (Read full article)
  23. AbdelRahman SE, Bahgat R, Farag GM (2011). Order Statistics Bayesian-Mining Agent Modeling for Automated Negotiation. 35, 123-37.
  24. AbdelRahman SE, Hassan B, Bahgat R (2010). A New Email Retrieval Ranking Approach. 2(5).
  25. AbdelRahman SE, Arnaoety M, Magdy M, Fahmy A (2010). An Integration between Machine Learning Techniques for Arabic Named Entity Recognition. 7(4), 3.
  26. Schuler W, AbdelRahman SE, Miller T, Schwartz L (2010). Broad-Coverage Parsing using Human-Like Memory Constraints. Comput Linguist Assoc Comput Linguist, 36(1).
  27. Hossny E, AbdelRahman SE, Badr A (2010). An Intelligent Web Service Workow: A Petri Net Based Approach. Open Inf Syst J, 3, 146-56.
  28. AbdelRahman SE, AbdelLatif AM (2010). DisBlue+: A distributed annotation-based C# compiler.. 11, 1-10.
  29. Radwan A, AbdelRahman SE, Bahgat R (2010). An Ontology based Middleware Services.
  30. AbdelRahman SE (2008). Multifold Server-Desktop Search Utilities for Better Lucene-oriented Information Retrieval. 9.
  31. AbdelRahman SE, Makady S (2005). A New Tool for Modeling UML constraints. 6(1).
  32. AbdelRahman SE, Bahgat R, Fahmi A, El-Gamal S (2003). UML+: A Multi-Paradigm Software Engineering Environment.
  33. AbdelRahman SE, Bahgat R, Fahmi A, El-Gamal S (2003). New Middleware Model for Programming Classes Relationships.

Book Chapter

  1. Bahgat R, AbdelRahman SE (2000). Combining Constraint Logic Programming Techniques for Solving Linear Problems. In Apt KR, Monfroy E, Kakas AC, Rossi F (Eds.), Lecture Notes in Computer Science: New Trends in Constraints (1865, pp. 188-211). Springer Berlin Heidelberg.

Conference Proceedings

  1. Sara Salim, AbdelRahman SE (2010). A multiple-domain ontology builder. In Association for Computational Linguistics. (Ed.), COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics, 967-975.
  2. Mohammad Amin Morid, Kensaku Kawamoto, Travis Ault, Josette Dorius, AbdelRahman SE (2017). Supervised Learning Methods for Predicting Healthcare Costs: Systematic Literature Review and Empirical Evaluation. AMIA 2017.
  3. Mohammad Amin Morid, Olivia R Liu Sheng, Abdelrahman SE (2017). Leveraging Time Series Data in Similarity Based Healthcare Predictive Models: The Case of Early ICU Mortality Prediction. Twenty-third Americas Conference on Information Systems (1st Rank IS Conference), Boston.
  4. AbdelRahman SE, Bray B (2016). Frequency Tree Clustering for ICU Mortality Analytics using Graph Database: Circulatory System Diseases Case Study. The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016, College of Computing & Informatics.
  5. Sumithra Velupillai, Danielle L Mowery, AbdelRahman SE, Lee Christensen, Wendy Chapman (2015). Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes. AMIA Conference.
  6. AbdelRahman SE, Sayed E, Bahgat R (2014). The Integration among Disambiguation Lexical Resources for more Effective Phrase-Level Contextual Polarity Recognition. 2014 The 9th International Conference on Computer Engineering & Systems (ICCES), IEEE, 86-81.
  7. Mobarz H, Rashown M, AbdelRahman SE (2011). An Automatic lexical resource Generation for Opinion Mining in Arabic language. 11th Conference on Language Engineering, Faculty of Engineering, AinShams University, Cairo, Egypt.
  8. Farag GM, AbdelRahman SE, Bahgat R, A-Moneim AM (2010). Towards KDE Mining Approach for Multi-Agent Negotiation. 2010 The 7th International Conference on Informatics and Systems (INFOS), IEEE, 1-7.
  9. AbdelRahman SE, Salim S (2010). A Multiple-Domain Ontology Builder. Proceedings of the 23rd International Conference on Computational Linguistics, Association for Computational Linguistics, 967-75.
  10. Mahdi M, AbdelRahman SE, Bahgat R, Ismail I (2010). F-Tree: an algorithm for Clustering Transactional Data Using Frequency Tree. El-Azhar College of Engineering Conference.
  11. Schuler W, AbdelRahman SE, Miller T, Schwartz L (2008). Toward a Psycholinguistically-Motivated Model of Language Processing. Proceedings of the 22nd International Conference on Computational Linguistics, Association for Computational Linguistics.
  12. Ibrahim M, AbdelRahman SE, Farag I (2008). IWSMD: An Intelligent Web Service based Medical Diagnosis System. 2008 6th International Conference on Informatics and Systems (INFOS 2008).

Abstract

  1. Janette Vazquez, AbdelRahman SE, Loretta Byrne, Michael Russell, Paul Harris, and Julio Facelli (2018). Data Mining of a De-Identified Version of ResearchMatch to Estimate Likelihood of Participating inClinical Research [Abstract]. Society for Advancing of Chicanos/Hispanics and Native Americans in Science (SACNAS).
  2. Diane M Walker, AbdelRahman SE, Julio C Facelli (2018). Automatic Knowledge Discovery in the National Health and Nutrition Examination Survey [Abstract]. Association for Clinical and Translational Science.
  3. EM Gilbert J Nativi-Nicolau, A Healy, AbdelRahman SE, J Jaramillo, A Elmer, S Tagge, S McKellar, J Stehlik, S Drakos, J Fang (2016). Readmission Rates in Patients with Left Ventricular Assist Devices [Abstract]. The Journal of Heart and Lung Transplantation.
  4. Soowhan Lah, AbdelRahman SE, Kensaku Kawamoto (2015). Predicting Costs In Pneumonia: A Bayesian Network Analysis [Abstract]. A47 CLINICAL ASPECTS AND DIAGNOSIS OF RESPIRATORY TRACT INFECTIONS.

Other

  1. Basma Hassan, AbdelRahman SE, Reem Bahgat (2015). FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure Semantic Textual Similarity. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) (pp. 154-158).
  2. Basma Hassan, AbdelRahman SE, Reem Bahgat, Ibrahim Farag (2017). FCICU at SemEval-2017 Task 1: Sense-based language independent semantic textual similarity approach. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) (Ed.), (pp. 125-129).
  3. Sumithra Velupillai, Danielle L Mowery, AbdelRahman SE, Lee Christensen, Wendy W Chapman (2015). BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge (1st Rank). the 2015 Clinical TempEval Challenge.
  4. Morid, MA, Sheng, ORL, AbdelRahman SE (2016). Healthcare Predictive Analytics for Patient Time Series with Non-ignorable Missingness: The Case of Early ICU Mortality Prediction (Best Paper Award). In Proc. of 11th Data Mining & Decision Analytics (DMDA), INFORMS Workshop. Nashville, Tennessee.
  5. Morid, MA, Sheng, ORL, AbdelRahman SE (2016). PPMF: A Patient-based Predictive Modeling Framework for Early ICU Mortality Prediction. Healthcare Analytics and Medical Decision Making, INFORMS Workshop. Nashville, Tennessee.
  6. Morid, MA, Sheng, ORL, AbdelRahman SE (2016). Leveraging Patient Similarity and Time Series Data in Healthcare Predictive Models. In Proc. of 7th Annual Workshop on Health IT and Economics (WHITE). Washington, DC.
  7. AbdelRahman SE, Blake C (2012). A Rule-based Human Interpretation System for Semantic Textual Similarity Task. Proceedings of the First Joint Conference on Lexical and Computational Semantics (1, pp. 536-42). Association for Computational Linguistics.
  8. Xu H, AbdelRahman SE, Jiang M, Fan JW, Huang Y (2011). An Initial Study of Full Parsing of Clinical Text using the Stanford Parser. International Workshop on Biomedical and Health Informatics, IEEE Conference of Bioinformatics and Biomedicine.