Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure.

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Bibliographic Details
Title: Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure.
Authors: Adejumo P; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Thangaraj PM; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Dhingra LS; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Aminorroaya A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Zhou X; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Brandt C; VA Connecticut Healthcare System, West Haven.; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut., Xu H; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut., Krumholz HM; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.; Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut., Khera R; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.; Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, Connecticut.
Source: JAMA network open [JAMA Netw Open] 2024 Nov 04; Vol. 7 (11), pp. e2443925. Date of Electronic Publication: 2024 Nov 04.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2574-3805
DOI:10.1001/jamanetworkopen.2024.43925