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关于机器学习在返回工作研究中的使用范围的综述:优点和弱点

Reuben Escorpizo1,2, Georgios Theotokatos3,4, Carole A Tucker5

  • 1Department 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.

Journal of occupational rehabilitation
|June 28, 2023
PubMed
概括

机器学习 (ML) 可以帮助识别在职业康复中预测返回工作 (RTW) 的因素. 这种方法补充了临床专业知识,以便及时和明智地做出参与工作的决定.

关键词:
卫生服务 卫生服务 卫生服务学习健康系统 学习健康系统机器学习 机器学习回到工作位的回归职业康复 职业康复 职业康复

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