This paper is in the following e-collection/theme issue:

Electronic Health Records (1137) Machine Learning (1656) Natural Language Processing (770) Decision Support for Health Professionals (1307)

Published on in Vol 10, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25157, first published .
Assessment of Natural Language Processing Methods for Ascertaining the Expanded Disability Status Scale Score From the Electronic Health Records of Patients With Multiple Sclerosis: Algorithm Development and Validation Study

Assessment of Natural Language Processing Methods for Ascertaining the Expanded Disability Status Scale Score From the Electronic Health Records of Patients With Multiple Sclerosis: Algorithm Development and Validation Study

Assessment of Natural Language Processing Methods for Ascertaining the Expanded Disability Status Scale Score From the Electronic Health Records of Patients With Multiple Sclerosis: Algorithm Development and Validation Study

Authors of this article:

Zhen Yang1 Author Orcid Image ;   Chloé Pou-Prom1 Author Orcid Image ;   Ashley Jones2 Author Orcid Image ;   Michaelia Banning1 Author Orcid Image ;   David Dai1 Author Orcid Image ;   Muhammad Mamdani1, 3, 4, 5, 6 Author Orcid Image ;   Jiwon Oh2, 4, 7 Author Orcid Image ;   Tony Antoniou1, 3, 8, 9 Author Orcid Image
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