Test-Retest Reliability and Responsiveness of the Machine Learning-Based Short-Form of the Berg Balance Scale in Persons With Stroke.

Journal: Archives of physical medicine and rehabilitation
Published Date:

Abstract

OBJECTIVE: To examine the test-retest reliability, responsiveness, and clinical utility of the machine learning-based short form of the Berg Balance Scale (BBS-ML) in persons with stroke.

Authors

  • Po-Ting Chen
    Department of Medical Imaging, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.
  • I-Ping Hsueh
    School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Shih-Chie Lee
    School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan.
  • 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.
  • Chih-Wen Twu
    Department of Otorhinolaryngology-Head and Neck Surgery, Changhua Christian Hospital, Changhua, Taiwan; Department of Quality Management, Changhua Christian Hospital, Changhua, Taiwan; Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan. Electronic address: idealnoses@gmail.com.
  • Ching-Lin Hsieh
    School of Occupational Therapy, College of Medicine, National Taiwan University, School of Occupational Therapy, Taipei, Taiwan.