Paul Heider and Stephane Meystre presented multiple publications at the international Medinfo 2019 conference in Lyon, France: Kim, Y., & Meystre, S. M. (2019). A Study of Medical Problem Extraction for Better Disease Management. Studies...
This new research contract will support collaborative efforts between MUSC and Vanderbilt University (Glenn Gobbel and his team). Our general objective is to develop and assess new Natural Language Processing (NLP) methods to improve the...
Youngjun Kim and Stephane Meystre. J Am Med Inform Assoc. 2019. Available at https://doi.org/10.1093/jamia/ocz100
Clinical Information Abstractor Powering a Dynamic Patient Clinical Summary Dashboard. To provide clinicians with a complete and timely summary of all key patient information, updated in real time, we propose a Clinical Information...
Stéphane M. Meystre, Paul M.Heider, Youngjun Kim, Daniel B. Aruch, Carolyn D.Britten. Int J Med Inform. 2019. Article available at: https://doi.org/10.1016/j.ijmedinf.2019.05.018
Stephane Meystre was invited to the 2019 HealTAC conference as keynote speaker. The conference took place in Cardiff, UK on April 23-25 2019. The keynote address focused on “Clinical Trials and Patients Automated Matchmaking.”
NLP development and evaluation requires tools to compare annotations, analyze differences, and compute accuracy metrics. None of the few existing tools allows consuming the output of any NLP system, comparing it with reference annotations in...
Our interactive panel at the AMIA annual symposium encountered great success and active participation by the audience. The audience experience with automatic text de-identification we limited, based on their feed-back: Presenters included...
Kim, Y., Heider, P., & Meystre, S. M. (2018). Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives. AMIA Annu Symp Proc. 663–672.
The 2018 n2c2 shared tasks focused on Cohort Selection for Clinical Trials (track 1) and on Adverse Drug Events and Medication Extraction (track 2). We participated in both tracks, with 28-45 other international teams. For track 2, we obtained...
Successful panel at the EFMI Special Topic Conference (Zagreb, Croatia) featuring: Stephane Meystre on “Automatic Trial Eligibility Surveillance to Support Patient Screening Decisions” Jihad Obeid on “Automated Detection of Altered Mental...
Garvin, J. H., Kim, Y., Gobbel, G. T., Matheny, M. E., Redd, A., Bray, B. E., et al. (2018). Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs. JMIR...
Kim, Y., Riloff, E., & Meystre, S. M. (2017). Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification (pp. 1060–1069). Presented at the AMIA Annu Symp Proc, Washington, DC.
The “Unstructured Clinical Data Reuse for Precision Medicine” Workshop organized at the Medinfo 2017 conference in Hangzhou, China, was a great success. Taking place on August 24, 2017, it included presentations by Christoph...
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 (Vol. 10259, pp. 345–350)...
Stéphane Meystre organized a tutorial with Meliha Yetisgen, Scott DuVall, and Hua Xu at the AIME (Artificial Intelligence in Medicine) conference, in Vienna. This tutorial focused on “NLP for Clinical Information Extraction” and...
Meystre S, Gouripeddi R, Tieder J, Simmons J, Srivastava R, Shah S. Enhancing Comparative Effectiveness Research With Automated Pediatric Pneumonia Detection in a Multi-Institutional Clinical Repository: A PHIS+ Pilot Study. J Med Internet...
Meystre SM, Lovis C, Bürkle T, Tognola G, Budrionis A, Lehmann CU. Clinical Data Reuse or Secondary Use: Current Status and Potential Future Progress. Yearb Med Inform. 2017 May 8;26(1).
Kim, Y., Garvin, J. H., Goldstein, M. K., Hwang, T. S., Redd, A., Bolton, D., et al. (2017). Extraction of Left Ventricular Ejection Fraction Information from Various Types of Clinical Reports. Journal of Biomedical Informatics...
The National Cancer Institute (NCI) has awarded a new grant (Phase II STTR) for technology transfer efforts focused on “Automated Problem and Allergy Lists Enrichment Based on High Accuracy Information Extraction from the Electronic...