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Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing.

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第一作者： Hunter,Osterhoudt

第一单位： Department of Computer Science, School of Computing and Information, University of Pittsburgh.

作者： Hunter,Osterhoudt ^[1] ; Courtney E,Schneider ^[2] ; Haneef A,Mohammad ^[3] ; Minmei,Shih ^[2] ; Alexandra E,Harper ^[2] ; Leming,Zhou ^[4] ; Elizabeth R,Skidmore ^[2] ; Yanshan,Wang ^[5]

作者单位： Department of Computer Science, School of Computing and Information, University of Pittsburgh. ^[1] Department of Occupational Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh. ^[2] Department of Information Science, School of Computing and Information, University of Pittsburgh. ^[3] Department of Health Information Management, School of Health and Rehabilitation Sciences, University of Pittsburgh. ^[4] Department of Health Information Management, School of Health and Rehabilitation Sciences, University of Pittsburgh.;Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA.;Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA. ^[5]

PMID 37350902

发布时间 2023-07-01

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AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

2023年2023卷

438-447页

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AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

2023年2023卷

438-447页

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Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

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AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

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Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

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AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

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