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

Zhen Yang   1 , MSc ;   Chloé Pou-Prom   1 , MSc ;   Ashley Jones   2 , BSc ;   Michaelia Banning   1 , BA (Hons) ;   David Dai   1 , MSc ;   Muhammad Mamdani   1, 3, 4, 5, 6 , PharmD, MA, MPH ;   Jiwon Oh   2, 4, 7 , MD, PhD ;   Tony Antoniou   1, 3, 8, 9 , PhD

1 Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada

2 Division of Neurology, Department of Medicine, St. Michael's Hospital, Toronto, ON, Canada

3 Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada

4 Faculty of Medicine, University of Toronto, Toronto, ON, Canada

5 Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada

6 Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada

7 Department of Neurology, Johns Hopkins University, Baltimore, MD, United States

8 Department of Family and Community Medicine, Unity Health Toronto, Toronto, ON, Canada

9 Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada

Corresponding Author: