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

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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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  Data: Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure.
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  Data: <searchLink fieldCode="AU" term="%22Adejumo+P%22">Adejumo P</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Thangaraj+PM%22">Thangaraj PM</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Dhingra+LS%22">Dhingra LS</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Aminorroaya+A%22">Aminorroaya A</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Zhou+X%22">Zhou X</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Brandt+C%22">Brandt C</searchLink>; VA Connecticut Healthcare System, West Haven.; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Xu+H%22">Xu H</searchLink>; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Krumholz+HM%22">Krumholz HM</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Khera+R%22">Khera R</searchLink>; 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.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Medical+Association%22">American Medical Association </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101729235 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2574-3805 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225743805%22">25743805 </searchLink><i>NLM ISO Abbreviation: </i>JAMA Netw Open <i>Subsets: </i>MEDLINE
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        Value: 10.1001/jamanetworkopen.2024.43925
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