Development and internal validation of machine learning algorithms to predict patient satisfaction after total hip arthroplasty.

Journal: Arthroplasty (London, England)
Published Date: Sep 2, 2021

Abstract

BACKGROUND: Patient satisfaction is a unique and important measure of success after total hip arthroplasty (THA). Our study aimed to evaluate the use of machine learning (ML) algorithms to predict patient satisfaction after THA.

Authors

  • Siyuan Zhang
    Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block, Level 11, Singapore, 119228, Singapore.
  • Jerry Yongqiang Chen
    Department of Orthopaedic Surgery, Singapore General Hospital, 20 College Road, Academia, Level 4, Singapore, 169856, Singapore.
  • Hee Nee Pang
    Department of Orthopaedic Surgery, Singapore General Hospital, 20 College Road, Academia, Level 4, Singapore, 169856, Singapore.
  • Ngai Nung Lo
    Department of Orthopaedic Surgery, Singapore General Hospital, 20 College Road, Academia, Level 4, Singapore, 169856, Singapore.
  • Seng Jin Yeo
    Department of Orthopaedic Surgery, Singapore General Hospital, 20 College Road, Academia, Level 4, Singapore, 169856, Singapore.
  • Ming Han Lincoln Liow
    Adult Reconstruction Service, Department of Orthopaedic Surgery, Singapore General Hospital, Singapore, Singapore.

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