Machine Learning-based World Health Organization Disability Assessment Schedule for persons with Parkinson's disease.

Journal: Parkinsonism & related disorders
PMID: 39933317

Abstract

INTRODUCTION: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a well-known measure to assess disability in persons with Parkinson's disease (PD). The purpose of this study was to develop a short form of the WHODAS 2.0 for persons with PD using a machine learning-based methodology (ML-WHODAS) and to examine the efficiency (i.e., number of items needed to be administered) and validity of the ML-WHODAS.

Authors

  • Meng-Lin Lee
    Division of Cardiovascular Surgery, Department of Surgery, Cathay General Hospital, Taipei, Taiwan; School of Medicine, National Tsing Hua University, Hsinchu, Taiwan. Electronic address: martin25_lee@hotmail.com.
  • Gong-Hong Lin
    Master Program in Long-term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan.
  • Yi-Ching Wang
    School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan. Electronic address: d06429003@ntu.edu.tw.
  • Shih-Chieh Lee
    Department of BioIndustry Technology, Da-Yeh University, No. 168, University Rd., Dacun, Changhua, Taiwan, Republic of China.
  • Ching-Lin Hsieh
    School of Occupational Therapy, College of Medicine, National Taiwan University, School of Occupational Therapy, Taipei, Taiwan.

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