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Publications

Recent Publications Sample

  • AAlAbdulsalam, A. K., Garvin, J. H., Redd, A., Carter, M., Sweeney, C., & Meystre, S. M. (2018). Automated Extraction and Classification of AJCC TNM Stage Mentions from Unstructured Text Fields in a Central Cancer Registry. AMIA Joint Summits on Translational Science Proceedings, 16–25.
  • Garvin, J. H., Kim, Y., Gobbel, G. T., Matheny, M. E., Redd, A., Bray, B. E., & Meystre, S. M. (2018). Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs. JMIR Medical Informatics, 6(1), e5.
  • Zhu, V., Walker, T. D., Warren, R. W., Jenny, P. B., Meystre, S. M., & Lenert, L. A. (2017). Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing (pp. 1906–1913). AMIA Annu Symp Proc, Washington, DC.
  • Kim, Y., Riloff, E., & Meystre, S. M. (2017). Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification. AMIA Annu Symp Proc, Washington, DC. 1060-1069.
  • Garvin, J. H., Kim, Y., Heidenreich, P., Nativi-Nicolau, J., Inampudi, C., Zeng-Treitler, Q., & Meystre, S. M. (2017). Health Informatics Improves Heart Failure Data Capture for Quality Measures, Research and Decision Support in VA. Journal of Cardiac Failure, 23(8), S113.
  • Meystre, S. M., & Doing-Harris, K. (2017). Semi-automated Ontology Development and Management System Applied to Medically Unexplained Syndromes in the U.S. Veterans Population. Artificial Intelligence in Medicine (10259):345–350.
  • 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. Journal of Medical Internet Research, 19(5), e162.
  • Meystre, S. M., Lovis, C., Bürkle, T., Tognola, G., Budrionis, A., & Lehmann, C. U. (2017). Clinical Data Reuse or Secondary Use: Current Status and Potential Future Progress. Yearbook of Medical Informatics, 26(1), 38–52.
  • Meystre, S. M., Kim, Y., Gobbel, G. T., Matheny, M. E., Redd, A., Bray, B. E., & Garvin, J. H. (2017). Congestive heart failure information extraction framework for automated treatment performance measures assessment. Journal of the American Medical Informatics Association, 24(e1), e40–e46.
  • Khalifa, A., & Meystre, S. (2017). Learning to De-Identify Clinical Text with Existing Hybrid Tools. AMIA Joint Summits on Translational Science proceedings, San Francisco, CA. 150-1.
  • Meystre, S., Kim, Y., Gobbel, G. T., Matheney, M., Redd, A., Bray, B. E., & Garvin, J. H. (2017). Heart Failure Data for Patient Treatment Goals at the Point of Care: Automated Data Extraction and Consistent Reference Standard Importance. AMIA Joint Summits on Translational Science proceedings, San Francisco, CA. 370-1.
  • Kim, Y., Garvin, J. H., Goldstein, M. K., Hwang, T. S., Redd, A., Bolton, D., & Meystre, S. M. (2017). Extraction of left ventricular ejection fraction information from various types of clinical reports. Journal of Biomedical Informatics (67): 42–48.
  • Meystre, S. M., Shao, J., & Jones, G. (2016). Automated Dynamic Problem and Allergy Lists for Efficient Electronic Health Record Management. AMIA Annu Symp Proc, Chicago, IL. 1512.

For a Full List of Publications, Check Out Our Respective Pages

Stéphane Meystre

Youngjun Kim

Paul M. Heider