Stephane M Meystre
Overview
Explore the profile of Stephane M Meystre including associated specialties, affiliations and a list of published articles.
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Articles
38
Citations
494
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Recent Articles
1.
Heider P, Meystre S
J Med Internet Res
. 2024 May;
26:e55676.
PMID: 38805692
Background: Clinical natural language processing (NLP) researchers need access to directly comparable evaluation results for applications such as text deidentification across a range of corpus types and the means to...
2.
Meystre S, Heider P, Cates A, Bastian G, Pittman T, Gentilin S, et al.
BMC Med Res Methodol
. 2023 Apr;
23(1):88.
PMID: 37041475
Background: To advance new therapies into clinical care, clinical trials must recruit enough participants. Yet, many trials fail to do so, leading to delays, early trial termination, and wasted resources....
3.
Pipaliya R, Heider P, Meystre S
Stud Health Technol Inform
. 2022 Jun;
290:1064-1065.
PMID: 35673207
We present on the performance evaluation of machine learning (ML) and Natural Language Processing (NLP) based Section Header classification. The section headers classification task was performed as a two-pass system....
4.
Heider P, Pipaliya R, Meystre S
Stud Health Technol Inform
. 2022 Jun;
290:1062-1063.
PMID: 35673206
A new natural language processing (NLP) application for COVID-19 related information extraction from clinical text notes is being developed as part of our pandemic response efforts. This NLP application called...
5.
Meystre S, Heider P, Kim Y, Davis M, Obeid J, Madory J, et al.
J Am Med Inform Assoc
. 2021 Aug;
29(1):12-21.
PMID: 34415311
Objective: The COVID-19 (coronavirus disease 2019) pandemic response at the Medical University of South Carolina included virtual care visits for patients with suspected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)...
6.
Kim Y, Heider P, Meystre S
AMIA Annu Symp Proc
. 2021 May;
2020:648-657.
PMID: 33936439
De-identification of electric health record narratives is a fundamental task applying natural language processing to better protect patient information privacy. We explore different types of ensemble learning methods to improve...
7.
Kim Y, Heider P, Lally I, Meystre S
JMIR Med Inform
. 2021 Apr;
9(4):e22797.
PMID: 33885370
Background: Family history information is important to assess the risk of inherited medical conditions. Natural language processing has the potential to extract this information from unstructured free-text notes to improve...
8.
Heider P, Obeid J, Meystre S
AMIA Jt Summits Transl Sci Proc
. 2020 Jun;
2020:241-250.
PMID: 32477643
A growing quantity of health data is being stored in Electronic Health Records (EHR). The free-text section of these clinical notes contains important patient and treatment information for research but...
9.
Obeid J, Davis M, Turner M, Meystre S, Heider P, OBryan E, et al.
J Am Med Inform Assoc
. 2020 May;
27(8):1321-1325.
PMID: 32449766
Objective: In an effort to improve the efficiency of computer algorithms applied to screening for coronavirus disease 2019 (COVID-19) testing, we used natural language processing and artificial intelligence-based methods with...
10.
Meystre S, Heider P, Kim Y, Aruch D, Britten C
Int J Med Inform
. 2019 Aug;
129:13-19.
PMID: 31445247
Introduction: 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 trials community. In this...