A Scoping Review on the Use of Machine Learning in Return-to-Work Studies: Strengths and Weaknesses.

Escorpizo, Reuben; Theotokatos, Georgios; Tucker, Carole A

Escorpizo, Reuben; Theotokatos, Georgios; Tucker, Carole A.

Escorpizo R; Department of Rehabilitation and Movement Science, College of Nursing and Health Sciences, University of Vermont, 106 Carrigan Dr, Burlington, VT, 05405, USA. reuben.escorpizo@med.uvm.edu.
Theotokatos G; Swiss Paraplegic Research, Nottwil, Switzerland. reuben.escorpizo@med.uvm.edu.
Tucker CA; Department of Rehabilitation and Movement Science, College of Nursing and Health Sciences, University of Vermont, 106 Carrigan Dr, Burlington, VT, 05405, USA.

J Occup Rehabil ; 34(1): 71-86, 2024 Mar.

Article en En | MEDLINE | ID: mdl-37378718

Asunto(s)

Empleo; Reinserción al Trabajo; Humanos; Estudios Retrospectivos; Rehabilitación Vocacional; Europa (Continente)

Palabras clave

Health Services; Learning Health System; Machine Learning; Return-to-Work; Vocational Rehabilitation

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Empleo / Reinserción al Trabajo Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans País como asunto: Europa Idioma: En Año: 2024 Tipo del documento: Article

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