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.
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| Title: | 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. |
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| Authors: | Yang Z; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada., Pou-Prom C; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada., Jones A; Division of Neurology, Department of Medicine, St. Michael's Hospital, Toronto, ON, Canada., Banning M; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada., Dai D; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada., Mamdani M; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada.; Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.; Faculty of Medicine, University of Toronto, Toronto, ON, Canada.; Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada.; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada., Oh J; Division of Neurology, Department of Medicine, St. Michael's Hospital, Toronto, ON, Canada.; Faculty of Medicine, University of Toronto, Toronto, ON, Canada.; Department of Neurology, Johns Hopkins University, Baltimore, MD, United States., Antoniou T; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada.; Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.; Department of Family and Community Medicine, Unity Health Toronto, Toronto, ON, Canada.; Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada. |
| Source: | JMIR medical informatics [JMIR Med Inform] 2022 Jan 12; Vol. 10 (1), pp. e25157. Date of Electronic Publication: 2022 Jan 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Print ISSN: 2291-9694 (Print) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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