Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients.

Shtar, Guy; Rokach, Lior; Shapira, Bracha; Nissan, Ran; Hershkovitz, Avital

Shtar, Guy; Rokach, Lior; Shapira, Bracha; Nissan, Ran; Hershkovitz, Avital.

Affiliation

Shtar G; Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Rokach L; Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Shapira B; Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Nissan R; 'Beit Rivka' Geriatric Rehabilitation Center, Petach Tikva, Israel.
Hershkovitz A; 'Beit Rivka' Geriatric Rehabilitation Center, Petach Tikva, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel. Electronic address: avitalhe@clalit.org.il.

Arch Phys Med Rehabil ; 102(3): 386-394, 2021 03.

Article in En | MEDLINE | ID: mdl-32949551

Subject(s)

Hip Fractures/rehabilitation; Machine Learning; Occupational Therapy; Physical Therapy Modalities; Aged; Aged, 80 and over; Disability Evaluation; Female; Geriatric Assessment; Humans; Male; Rehabilitation Centers; Retrospective Studies; Subacute Care; Surveys and Questionnaires; Treatment Outcome

Key words

Hip fracture; Machine learning; Rehabilitation; Subacute care

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Occupational Therapy / Physical Therapy Modalities / Machine Learning / Hip Fractures Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male Language: En Journal: Arch Phys Med Rehabil Year: 2021 Type: Article Affiliation country: Israel

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