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

Journal: Archives of physical medicine and rehabilitation

PMID: 32949551

Abstract

OBJECTIVE: To use machine learning-based methods in designing a predictive model of rehabilitation outcomes for postacute hip fracture patients.

Authors

Guy Shtar

Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Lior Rokach
Bracha Shapira

Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Ran Nissan

'Beit Rivka' Geriatric Rehabilitation Center, Petach Tikva, Israel.
Avital Hershkovitz

'Beit Rivka' Geriatric Rehabilitation Center, Petach Tikva, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel. Electronic address: avitalhe@clalit.org.il.

Keywords

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

External Resources

View on PubMed Access via DOI PubMed (32949551)

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