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Paul M. Heider
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An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report
JS Obeid, M Davis, M Turner, SM Meystre, PM Heider, EC O'Bryan, ...
Journal of the American Medical Informatics Association 27 (8), 1321-1325, 2020
842020
Automatic trial eligibility surveillance based on unstructured clinical data
SM Meystre, PM Heider, Y Kim, DB Aruch, CD Britten
International journal of medical informatics 129, 13-19, 2019
792019
The processing of it object relative clauses: Evidence against a fine-grained frequency account
PM Heider, JE Dery, D Roland
Journal of Memory and Language 75, 58-76, 2014
462014
Ensemble-based methods to improve de-identification of electronic health record narratives
Y Kim, P Heider, S Meystre
AMIA annual symposium proceedings 2018, 663, 2018
402018
A comparative analysis of speed and accuracy for three off-the-shelf de-identification tools
PM Heider, JS Obeid, SM Meystre
AMIA Summits on Translational Science Proceedings 2020, 241, 2020
352020
Impact of de-identification on clinical text classification using traditional and deep learning classifiers
JS Obeid, PM Heider, ER Weeda, AJ Matuskowitz, CM Carr, K Gagnon, ...
Studies in health technology and informatics 264, 283, 2019
302019
Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models
SM Meystre, PM Heider, A Cates, G Bastian, T Pittman, S Gentilin, ...
BMC Medical Research Methodology 23 (1), 88, 2023
262023
Natural language processing enabling COVID-19 predictive analytics to support data-driven patient advising and pooled testing
SM Meystre, PM Heider, Y Kim, M Davis, J Obeid, J Madory, ...
Journal of the American Medical Informatics Association 29 (1), 12-21, 2022
262022
Representing and utilizing clinical textual data for real world studies: An OHDSI approach
VK Keloth, JM Banda, M Gurley, PM Heider, G Kennedy, H Liu, F Liu, ...
Journal of biomedical informatics 142, 104343, 2023
212023
Initial development of tools to identify child abuse and neglect in pediatric primary care
RF Hanson, V Zhu, F Are, H Espeleta, E Wallis, P Heider, M Kautz, ...
BMC medical informatics and decision making 23 (1), 266, 2023
162023
A hybrid model for family history information identification and relation extraction: development and evaluation of an end-to-end information extraction system
Y Kim, PM Heider, IRH Lally, SM Meystre
JMIR Medical Informatics 9 (4), e22797, 2021
152021
Using large language models for extracting stressful life events to assess their impact on preventive colon cancer screening adherence
D Scherbakov, PM Heider, R Wehbe, AV Alekseyenko, LA Lenert, ...
BMC Public Health 25 (1), 12, 2025
112025
ETUDE for easy and efficient NLP application evaluation
PM Heider, JK Accetta, SM Meystre
AMIA NLP-WG Pre-Symposium; San Francisco, CA, 2018
72018
Repurposing Bible translations for grammar sketches
PM Heider, A Hatfield, J Wilson
Proceedings of the Second Meeting of the Illinois Language and Linguistics …, 2011
72011
An extensible evaluation framework applied to clinical text deidentification natural language processing tools: multisystem and multicorpus study
PM Heider, SM Meystre
Journal of medical Internet research 26, e55676, 2024
62024
Comparative study of various approaches for ensemble-based de-identification of electronic health record narratives
Y Kim, PM Heider, SM Meystre
AMIA Annual Symposium Proceedings 2020, 648, 2021
52021
A natural language processing tool offering data extraction for COVID-19 related information (DECOVRI)
PM Heider, RM Pipaliya, SM Meystre
MEDINFO 2021: One World, One Health–Global Partnership for Digital …, 2022
42022
AI approaches for phenotyping Alzheimer's disease and related dementias using electronic health records
S Knox, S Aghamoosa, PM Heider, M Cutty, A Wright, D Scherbakov, ...
Alzheimer's & Dementia: Translational Research & Clinical Interventions 11 …, 2025
22025
ETUDE: demonstrating multiple matching styles and offset calculators within a natural language processing evaluation tool
PM Heider, JK Accetta, SM Meystre
Proceedings of the 17th World Congress on Medical and Health Informatics, 25-30, 2019
22019
Automated detection and prediction of suicidal behavior from clinical notes using deep learning
BE Bunnell, A Tsalatsanis, C Chaphalkar, S Robinson, S Klein, S Cool, ...
PLoS One 20 (9), e0331459, 2025
12025
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