Satya Sahoo, Joseph Plasek, Hua Xu, Ozlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane Meystre , Yanshan Wang
J Am Med Inform Assoc, published…
Prof. Meystre presented a keynote on "Opening the Treasure Trove Chest: AI to Enable Clinical Data Reuse for Research and Care Support" at the Clinical…
Stéphane M Meystre, Paul M Heider, Youngjun Kim, Matthew Davis, Jihad Obeid, James Madory, Alexander V Alekseyenko
J Am Med Inform Assoc. Volume 29, Issue 1, January 2022, Pages 12–21, https://doi.org/10.1093/jamia/ocab186.
Available…
Youngjun Kim, Paul M Heider, Isabel Rh Lally, and Stéphane M Meystre
JMIR Med Inform. 2021 Apr 22;9(4):e22797.
Available at: https://pubmed.ncbi.nlm.nih.gov/33885370/ and at: https://medinform.jmir.org/2021/4/e22797/
PCORI awarded our MUSC team partnering with Vanderbilt University funding to develop, test and share a new software application for COVID-19 related information extraction based…
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…
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…
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…
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…
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…