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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35019849 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yang+Z%22">Yang Z</searchLink>; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Pou-Prom+C%22">Pou-Prom C</searchLink>; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Jones+A%22">Jones A</searchLink>; Division of Neurology, Department of Medicine, St. Michael's Hospital, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Banning+M%22">Banning M</searchLink>; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Dai+D%22">Dai D</searchLink>; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Mamdani+M%22">Mamdani M</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Oh+J%22">Oh J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Antoniou+T%22">Antoniou T</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101645109%22">JMIR medical informatics</searchLink> [JMIR Med Inform] 2022 Jan 12; Vol. 10 (1), pp. e25157. <i>Date of Electronic Publication: </i>2022 Jan 12. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22JMIR+Publications%22">JMIR Publications </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>101645109 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2291-9694 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222919694%22">22919694 </searchLink><i>NLM ISO Abbreviation: </i>JMIR Med Inform <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35019849 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2196/25157 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e25157 Titles: – TitleFull: 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. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang Z – PersonEntity: Name: NameFull: Pou-Prom C – PersonEntity: Name: NameFull: Jones A – PersonEntity: Name: NameFull: Banning M – PersonEntity: Name: NameFull: Dai D – PersonEntity: Name: NameFull: Mamdani M – PersonEntity: Name: NameFull: Oh J – PersonEntity: Name: NameFull: Antoniou T IsPartOfRelationships: – BibEntity: Dates: – D: 12 M: 01 Text: 2022 Jan 12 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 2291-9694 Numbering: – Type: volume Value: 10 – Type: issue Value: 1 Titles: – TitleFull: JMIR medical informatics Type: main |
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