Mike Conway, PhD

Research Interests

  • Clinical Natural Language Processing
  • Natural Language Processing
  • Public Health Informatics
  • Consumer Health Informatics
  • Health Informatics
  • Bioethics

Languages

  • English

Academic Information

  • Departments: Biomedical Informatics - Assistant Professor

Academic Office Information

  • 801-581-4080
  • 421 Wakara Way
    Salt Lake City, UT 84108

Academic Bio

Since earning his PhD from the University of Sheffield’s Department of Computer Science in 2007, Dr Conway's research has centered on utilizing Natural Language Processing for applications in public health informatics. First, in Dr Nigel Collier’s research group at the National Institute of Informatics, Japan (2007-2009) where, funded by a Japanese Society for the Promotion of Science postdoctoral fellowship, he contributed to the development of Biocaster, a system that uses NLP to automatically analyse global news texts and blogs, alerting public health practitioners to anomalous health events, and subsequently as a postdoctoral fellow in Dr Wendy Chapman’s Biomedical NLP lab, initially at the Department of Biomedical Informatics at the University of Pittsburgh (2009-2010) and then at the Division of Biomedical Informatics at the University of California San Diego (2011-2013). During this period, Dr Conway's research focused on the development of NLP resources for text mining electronic health records and other clinical data. In addition to his work with Dr Chapman, in the winter of 2010/2011 Dr Conway spent six months in the Division of Biomedical Statistics and Informatics at Mayo Clinic, Rochester, where, supervised by Dr Jyotishman Pathak, he contributed to the development of electronic health record-oriented phenotyping algorithms designed to fully automate the identification of candidates for epidemiological studies and clinical trials. In 2013, Dr Conway spend one year as an Assistant Project Scientist in the Division of Behavioral Health in the Department of Family & Preventive Medicine at the University of California San Diego, funded by the K99 component of a K99/R00 "Pathways to Independence" award entitled Utilzing Social Media as a Resource for Mental Health Surveillance. In 2014, he took up an Assistant Professor position at the University of Utah's Department of Biomedical Informatics where he leads the Population and Behavioral Health Informatics Group (https://pbhig.chpc.utah.edu/).

Research Statement

Dr Conway's research interests focus on the application of computational methods (e.g. natural language processing & machine learning) to problems in population and behavioral health.

Lab website: https://pbhig.chpc.utah.edu/

Google Scholar: https://scholar.google.com/citations?user=uiJso6MAAAAJ&hl=en

Email address: mike.conway@utah.edu

Education History

Type School Degree
Doctoral Training Sheffield University
Computer Science
Ph.D.
Graduate Training University of Sussex
Intelligent Systems
M.Sc.

Global Impact

Education History

Type School Degree Country
Doctoral Training Sheffield University
Computer Science
Ph.D. United Kingdom
Graduate Training University of Sussex
Intelligent Systems
M.Sc. United Kingdom

Selected Provider Publications

Conference Proceedings

  1. Velupillai S, Mowery D, Conway M, Hurdle J, Kious B (). Vocabulary Development to Support Information Extraction of Substance Abuse from Psychiatry Notes. Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BIONLP 2016), Berlin, 92-101.
    Global Impact: United Kingdom.

Selected Publications

Journal Article

  1. Park A, Zhu S-H, Conway M (). The Readability of Electronic Cigarette Health Information and Advice: A Quantitative Analysis of Web-Based Information. JMIR Public Health Surveill, 3(1), e1.
  2. Mowery D, Coppersmith G, Stoddard G, Smith H, Cheney T, Conway M (). Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-based Study. J Med Internet Res, 19(2), e48.
  3. Park A, Conway M (). Longitudinal changes in psychological states in online health community members: Understanding the long-term effects of participating in an online depression community. J Med Internet Res, 19(3), e71.
  4. Doan S, Ritchart A, Perry N, Chapparo J, Conway M (). How do you #relax when you're #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets. JMIR Public Health Surveill, 3(2).
  5. Doing-Harris K, Mowery D, Daniels C, Chapman W, Conway M (). Understanding Patient Satisfaction with Received Healthcare Services: A Natural Language Processing Approach. Proc AMIA Symp, 524-533.
  6. Conway M, OConnor D (2016 Jun). Social Media, Big Data, and Mental Health: Current Advances and Ethical Implications. Curr Opin Psychol, 9, 77-82.
  7. Mowery DL, Chapman BE, Conway M, South BR, Madden E, Keyhani S, Chapman WW (2016). Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis. Journal of Biomedical Semantics, 7, 26.
  8. Conway M, Khojoyan A, Fana F, Scuba W, Castine M, Mowery D, Chapman W, Jupp S (2016). Developing a web-based SKOS editor. Journal of Biomedical Semantics, 7, 5.
  9. Mikal J, Hurst S, Conway M (2016). Ethical issues in using Twitter for population-level depression monitoring: a qualitative study. BMC Medical Ethics, 17, 22.
  10. Alvaro N, Conway M, Doan S, Lofi C, Overington J, Collier N (2015 Dec). Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use. J Biomed Inform, 58, 280-7.
  11. Jain S, Zhu S-H, Conway M (). Consumer Attitudes Towards Hookah, Cigarettes, and Cigars: Applying Topic Modeling to Twitter Data. Tob Regul Sci, 6(3), 198-203.
  12. Chen AT, Conway MA (2015). What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques. J Med Internet Res, 17(9), e220.
  13. Charles-Smith LE, Reynolds TL, Cameron MA, Conway M, Lau EH, Olsen JM, Pavlin JA, Shigematsu M, Streichert LC, Suda KJ, Corley CD (2015). Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review. PLoS ONE, 10(10), e0139701.
  14. Faigen Z, Deyneka L, Ising A, Neill D, Conway M, Fairchild G, Gunn J, Swenson D, Painter I, Johnson L, Kiley C, Streichert L, Burkom H (2015). Cross-Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Asyndromic Surveillance Use Case. OJPHI, 7(3), e228.
  15. Doan S, Lin KW, Conway M, Ohno-Machado L, Hsieh A, Feupe SF, Garland A, Ross MK, Jiang X, Farzaneh S, Walker R, Alipanah N, Zhang J, Xu H, Kim HE (2014 Jan-Feb). PhenDisco: phenotype discovery system for the database of genotypes and phenotypes. J Am Med Inform Assoc, 21(1), 31-6.
  16. Conway M (2014). Ethical issues in using Twitter for public health surveillance and research: developing a taxonomy of ethical concepts from the research literature. J Med Internet Res, 16(12), e290.
  17. Henriksson A, Conway M, Hassel M, Chapman W (). Identifying Synonymy between SNOMED Clinical Terms of Varying Length Using Distributional Analysis of Electronic Health Records. AMIA Annu Symp Proc, 600–609..
  18. Lin K, Conway M, Kim J, Kim H (). Feasibility of Using Clinical Element Models (CEM) to Standardize Phenotype Variables in the database of Genotypes and Phenotypes (dbGaP). PLoS ONE, 8, e76384.
  19. Myslin M, Zhu S, Chapman W, Conway M (). Using Twitter to Examine Smoking Behaviour and Perceptions of Emerging Tobacco Products. J Med Internet Res, 15(8), e174.
  20. Conway M, Dowling J, Chapman W (). Using Chief Complaints for Syndromic Surveillance: A Review of Chief Complaint Classifiers in North America. J Biomed Inform.
  21. Ross M, Lin K, Truong K, Kumar A, Conway M (). Text Categorization of Heart, Lung and Blood studies in the Database of Genotypes and Phenotypes (dbGaP) Utilizing N-grams and Metadata Features. Biomed Inform Insights, 6, 35-45.
  22. Henriksson A, Conway M, Duneld M, Chapman WW (2013). Identifying synonymy between SNOMED clinical terms of varying length using distributional analysis of electronic health records. AMIA Annu Symp Proc, 2013, 600-9.
  23. Conway M, Berg R, Carrell D, Denny J, Kho A, Kullo I, Linneman J, Pacheco J, Peissig P, Rasmussen L, Weston N, Chute C, Pathak J (). Analyzing the Heterogeneity and Complexity of Electronic Health Record Orientated Phenotyping Algorithms. AMIA Annu Symp Proc, 274-283.
  24. Conway M (). Mining a Corpus of Biographical Texts Using Keywords. Literary and Linguistic Computing, 25(1), 23-35.
  25. Conway M, Kawazoe A, Chanlekha H, Collier N (). Developing a Disease Outbreak Event Corpus. J Med Internet Res, 12, 3.
  26. Doan S, Kawazoe A, Conway M, Collier N (). Towards Role-based Filtering of Disease Outbreak Reports. J Biomed Inform, 42(5), 773-780.
  27. Conway M, Doan S, Kawazoe A, Collier N (). Classifying Disease Outbreak Reports Using N-grams and Semantic Features. Int J Med Inform, 78(12), 47-58.
  28. Collier N, Doan S, Kawazoe A, Matsuda-Goodwin R, Conway M, Tateno Y, Ngo Q-H, Dien D, Kawtrakul A, Takeuchi, K, Shigematsu M, Tanigu-Ichi K (). BioCaster: Detecting Public Health Rumors with a Web-based Text Mining System. Bioinformatics, 24(24), 2940-2941.

Review

  1. Doan S, Conway M, Phuong TM, Ohno-Machado L (2014). Natural language processing in biomedicine: a unified system architecture overview. [Review]. Methods Mol Biol, 1168, 275-94.

Book Chapter

  1. Doan S, Conway M, Collier N (). An Empirical Study of Sections in Classifying Disease Outbreak Reports. In A. Lazakidou (Ed.), Web-based Applications in Health Care and Biomedicine. Series: Annals of Information Systems, Volume 7 (Chapter 4, pp. 47-58). Springer.
  2. Collier N, Doan S, Matsuda Goodwin R, Mccray J, Conway M, Shigematsu M, Kawazoe A (). Navigating the Information Storm: Web-based Global Health Surveillance. In T. Kass-Hout and X. Zhang (Eds.), Biosurveillance: A Health Protection Priority (Chapter 15, pp. 291-312). Chapman & Hall/CRC Press.

Conference Proceedings

  1. Mowery D, Bryan C, Conway M (). Feature Studies to Inform the Classification of Depressive Symptoms from Twitter Data. Proceedings of the WSDM 2017 Workshop on Mining Online Health Reports, Cambridge.
  2. Collier N, Limsopatham N, Culotta A, Conway M, Cox I, Lampos V (). WSDM 2017 Workshop on Mining Online Health Reports. Proceedings of the 10th International Conference on Web Search and Data Mining (WSDM'17), Cambridge, 825-826.
  3. Mikal J, Hurst S, Conway M (). Investigating Patient Attitudes Towards the use of Social Media Data to Augment Depression Diagnosis and Treatment: A Qualitative Study. Proceedings of the 2017 Workshop on Computational Linguistics and Clinical Psychology -- From Linguistic Signal to Clinical Reality, Vancouver: CLPsych, 41-7.
  4. Mowery D, South B, Patterson O, Zhu S-H, Conway M (). Investigating the Documentation of Electronic Cigarette Use in the Veterans Affairs Electronic Health Record: A Pilot Study. Proceedings of the 2017 Workshop on Current Trends in Biomedical Natural Language Processing, Vancouver: BioNLP.
  5. Guo J-W, Mowery D, Conway M, Sward K (). A Corpus Analysis of Social Connections and Social Isolation for Patients Suffering from Major Depressive Disorder. Proceedings of the 2017 Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, Vancouver: CL Psych, 26-31.
  6. Mowery D, Park A, Conway M (). Towards Automatically Classifying Depressive Symptoms from Twitter Data for Population Health. Proceedings of PEOPLES: Computational Modeling of People's Opinions, Personality, and Emotions in Social Media, Osaka, 182-191.
  7. Velupillai S, Mowery D, Conway M, Hurdle J, Kious B (). Vocabulary Development to Support Information Extraction of Substance Abuse from Psychiatry Notes. Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BIONLP 2016), Berlin, 92-101.
  8. Chen X, Murtaugh M, Koebnick C, Beddhu S, Garvin J, Conway M, Lee Y, Gouripeddi R, Luo G (). Nutrition Management Software for Chronic Kidney Disease: Current Status and Open Issues. Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'16), Shanghai, 62-72.
  9. Kalyanam J, Velupillai S, Conway M, Lanckriet G (). From Event Detection to Storytelling on Microblogs. Proceedings of the 2016 ACM/IEEE Conference on Advances in Social Network Analysis and Mining, San Francisco, 437-442.
  10. Mowery D, Bryan C, Conway M (). Towards Developing an Annotation Scheme for Depressive Disorder Symptoms: A Preliminary Study using Twitter Data. Proceedings of the 2015 Workshop on Computational Linguistics and Clinical Psychology (CLPSYCH 2015), San Diego, 89-98.
  11. Mowery D, Chapman W, Chapman B, Conway M, South B, Madden E, Keyhani S (). Evaluating the Usage of Sections, Structures and Expressions for Reporting and Extracting a Stroke Phenotype Risk Factor. Phenotype Day: Special Session of Bio-Ontologies SIG, Dublin, 12-15.
  12. Conway M, Fana F, Tharp M, Scuba W, Chapman W, Jupp S (). Developing a Web-based SKOS Editor. Proceedings of the 6th International Symposium on Semantic Mining in Biomedicine (SMBM 2014), Aveiro, 105-108.
  13. Kalyanam J, Velupillai S, Doan S, Conway M, Lanckriet G (). Facts and Fabrication about Ebola: A Twitter Based Study. Proceedings of BigCHat - Connected Health at Big Data Era - A KDD 2015 Workshop, Sydney.
  14. Chen A, Zhu S-H, Conway M (). Text Mining and Visualization to Explore E-cigarettes and Hookah-related Social Media. Proceedings of the 2014 Workshop on Visual Analytics in Health Care, Washington DC, 68-69.
  15. Henriksson A, Skeppstedt M, Kvist M, Duneld M, Conway M (). Corpus-Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records. 12th Workshop on Biomedical Natural Language Processing, Sophia Publishing Group Inc.
  16. Chapman W, Hilert D, Velupillai S, Kvist M, Skeppstedt M, Chapman B, Conway M, Tharp M, Mowery D, Deleger L (). Extending the NegEx Lexicon for Multiple Languages. 14th World Congress on Medical and Health Informatics, MedInfo, 677-681.
  17. Hsieh A, Doan S, Conway M, Lin K, Kim H (). Demographics Identification: Variable Extraction Resource (DIVER). Second Institute of Electrical and Electronics Engineers Conference on Healthcare Informatics, Imaging and Systems Biology, San Diego, 40-49.
  18. Conway M, Dowling J, Chapman W (). Developing an Application Ontology for Mining Free Text Clinical Reports: The Extended Syndromic Surveillance Ontology. The Third International Workshop on Health Document Text Mining and Information Analysis, Slovenia: LOUHI, 75-82.
  19. Boyce R, Harkema H, Conway M (). Leveraging the Semantic Web and Natural Language Processing to Enhance Drug Mechanism Knowledge in Drug Product Labels. 2010 ACM International Health Informatics Symposium, Arlington, VA, 492-496.
  20. Chapman WW, Dowling JN, Baer A, Buckeridge DL, Cochrane D, Conway MA, Elkin P, Espino J, Gunn JE, Hales CM, Hutwagner L, Keller M, Larson C, Noe R, Okhmatovskaia A, Olson K, Paladini M, Scholer M, Sniegoski C, Thompson D, Lober B (2010 Sep-Oct). Developing syndrome definitions based on consensus and current use. J Am Med Inform Assoc, United States, 17(5), 595-601.
  21. Conway M, Dowling J, Chapman W (). Developing a Biosurveillance Application Ontology for Influenza-Like-Illness. The 6th Workshop on Ontologies and Lexical Resources, Beijing, 58-66.
  22. Collier N, Matsuda Goodwin R, McCrae J, Doan S, Kawazoe A, Conway M, Kawtrakul A, Takeuchi K, Dien D (). An Ontology-Driven System for Detecting Global Health Events. The 23rd International Conference on Computational Linguistics, Los Angeles, CA: SAAKM.
  23. Conway M, Doan S, Collier N (). Using Hedges to Enhance a Disease Outbreak Report Text Mining System. The Workshop on Current Trends in Biomedical Natural Language Processing, Boulder, CO: BioNLP, 142-143.
  24. Conway M, Doan S, Kawazoe A, Collier N (). Classifying Disease Outbreak Reports Using N-grams and Semantic Features. The Third International Symposium on Semantic Mining in Biomedicine, Turku, Finland: SMBM, 29-36.

Book Review

  1. Conway M (). A Review of Corpus Linguistics 25 Years On. [Review of the book Corpus Linguistics 25 Years On. Facchinetti, R (eds)]. Linguist List, 19.1359.

Abstract

  1. Mowery D, Doing-Harris K, Chapman W, Conway M (). A Characterization of Emotional Valence to Support Review of Free-Text Press-Ganey Patient Satisfaction Survey Responses [Abstract]. Proceedings of the 2016 American Medical Informatics Annual Symposium, 1524.
  2. Zolnoori M, Patrick T, Conway M, Faiola A, Luo J (). Evaluating Acceptability and Efficacy of Antidepressant Medications using Patient Comments in Social Media [Abstract]. Proceedings of the 2016 American Medical Informatics Symposium.
  3. Mowery D, Smith H, Cheney T, Bryan C, Conway M (). Identifying Depression-related Tweets from Twitter for Public Health Monitoring [Abstract]. Proceedings of the 2015 International Society for Disease Surveillance Conference, e144.
  4. South B, Mowery D, Christensen L, Gundlapalli A, Tharp M, Vali M, Carter M, Conway M, Keyhani S, Chapman W (). Annotating Activities of Daily Living and Instrumental Activities of Daily Living in VA Clinical Documents [Abstract]. Proceedings of the 2015 American Medical Informatics Symposium.
  5. Chen A, Zhu S-H, Conway M (). Combining Text Mining and Visualization Techniques to Understand Consumer Experiences of Electronic Cigarettes and Hookah in Online Forums [Abstract]. Proceedings of the International Society for Disease Surveillance Annual Conference, e117.
  6. Conway M (). A Bibliometric Study of Ethics Citations in Biomedical Informatics Journals [Abstract]. In Proceedings of the American Medical Informatics Association, Washington, D.C.
  7. Ross M, Kumar A, Lah M, Calvo R, Conway M (). Recreational Drug Slang: Identification of New Terms and Populating a Lexical Taxonomy. Poster presented at the American Medical Informatics Association Annual Symposium, Washington, D.C [Abstract]. In Proceedings of the American Medical Informatics Association, Washington 2013.
  8. Myslin M, Zhu S, Chapman W, Conway M (). Using Twitter to Examine Smoking Behaviour and Perceptions of Emerging Tobacco Products [Abstract]. In Proceedings of Medicine 2.0, London.
  9. Lee M, Zhu S, Huang Y, Mayoral A, Conway M (). A Survey of More than 250 E-cigarette Brands on the Internet [Abstract]. In Proceedings of the Society for Research on Nicotine and Tobacco Meeting, Boston, MA USA, 186.
  10. Keffala B, Doan S, Collier N, Mowery D, Conway M (). Building an Annotation Scheme and Corpus for Twitter Based Syndromic Surveillance [Abstract]. In Proceedings of the International Society for Disease Surveillance Annual Conference, San Diego, 110.
  11. Gillingham G, Conway M, Chapman W, Casale M, Pettigrew K (). #wheezing: A Content Analysis of Asthma-Related Tweets [Abstract]. In Proceedings of the International Society for Disease Surveillance Annual Conference, San Diego, 86.
  12. Myslin M, Zhu S, Conway M (). Content Analysis of Tobacco Related Twitter Posts [Abstract]. In Proceedings of the International Society for Disease Surveillance Annual Conference, San Diego, 154.
  13. Hsieh A, Conway M, Kim H, Ohno-Machado L (). Identifying Age Variables in dbGaP using Natural Language Processing [Abstract]. In Proceedings of the American Medical Informatics Association Symposium, Chicago, 1781.
  14. Conway M, Chapman W (). Discovering Lexical Instantiations of Clinical Concepts using Web Services, WordNet and Corpus Resources [Abstract]. In Proceedings of the American Medical Informatics Association Annual Symposium, Chicago, 1604.
  15. Lin K, Tharp M, Conway M, Ross M, Hsieh A, Ohno-Machado L, Kim H (). Feasibility of Using Clinical Element Models (CEM) to Standardize Phenotype Variables in the database of Genotypes and Phenotypes (dbGaP) [Abstract]. In Proceedings of the Second IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, San Diego, 123.
  16. Truong K, Conway M (). A Study on Studies: Exploring the Metadata Associated with dbGaP Studies [Abstract]. In Proceedings of the Second IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, San Diego, 126.
  17. Doan S, Conway M, Collier N (). A Study of Positive and Negative Affect in Tracking Influenza-like Illness (ILI) Rate in Twitter Data [Abstract]. In Proceedings of Medicine 2.0, Boston.
  18. Chen A, Chapman W, Conway M, Chapman B (). A Web Based Platform to Support Text Mining of Clinical Reports [Abstract]. In Proceedings of the International Society for Disease Surveillance Annual Conference, Atlanta, 27.
  19. Wang L, Zhang M, Conway M, Haug P, Chapman W (). Using cKASS to Facil2011itate Knowledge Authoring and Sharing for Syndromic Surveillance [Abstract]. In Proceedings of the International Society for Disease Surveillance Annual Conference, Atlanta, 158.
  20. Conway M, Dowling J, Chapman W (). Evaluating Syndrome Definitions in the Extended Syndromic Surveillance Ontology [Abstract]. In Proceedings of the International Society for Disease Surveillance Annual Conference, Atlanta, 32.
  21. Conway M, Pathak J (). Analyzing the Prevelence of Hedges in Electronic Health Record Oriented Phenotyping Algorithms [Abstract]. In Proceedings of the American Medical Informatics Association Annual Symposium, 1727.
  22. Conway M, Dowling J, Tsui R, Chapman W (). Developing an Application Ontology for Mining Clinical Reports: The Extended Syndromic Surveillance Ontology [Abstract]. In Proceedings of the International Society for Disease Surveillance Annual Conference, Park City, 15.
  23. Chapman W, Christensen L, Dowling J, Lee Q, Conway M, Harkema H, Tsui R (). Challenges in Adapting an NLP System for Real-time Surveillance [Abstract]. In Proceedings of the International Society for Disease Surveillance Annual Conference, Park City, 7.
  24. Conway M, Okhmatovskia A, Buckeridge D, Chapman W (). Using Consensus Syndrome Definitions to Classify Chief Complaints — The Onto-Classifier Web Application [Abstract]. In Proceedings of the American Medical Informatics Association Annual Symposium, Washington D.C, 1012.
  25. Conway M (). KWExT – A Prototype Keyword Extraction Tool [Abstract]. In Proceedings of Corpus Linguistics, 294.
  26. Conway M (). Emotive Language and Disease Outbreak Reports [Abstract]. In Proceedings of the American Association of Corpus Linguistics Conference, Utah.

Newspaper

  1. - (). Front page article describing the Biocaster system. Asahi Shimbun, a Japanese national newspaper.

Other

  1. - (). Twitter knows when you're depressed. TIME Magazine - regarding my work on the ethical and social issues involved in mental health monitoring using social media.