Our paper on "A Comparative Analysis of Speed and Accuracy for Three Off-the-Shelf De-Identification Tools" has been awarded the Data Science Best Paper Award at…
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…
Insufficient patient enrollment in clinical trials remains a serious and costly problem and is often considered the most critical issue to solve for the clinical…
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…
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,…
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…
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…