Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke.

Journal: Archives of physical medicine and rehabilitation
Published Date: Dec 31, 2021

Abstract

OBJECTIVE: This study aimed to develop and validate a machine learning-based short measure to assess 5 functions (the ML-5F) (activities of daily living [ADL], balance, upper extremity [UE] and lower extremity [LE] motor function, and mobility) in patients with stroke.

Authors

  • Gong-Hong Lin
    Master Program in Long-term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan.
  • Chih-Ying Li
    University of Texas Medical Branch, Mountain Brook, TX 77555-0128 USA.
  • Ching-Fan Sheu
    Institute of Education, National Cheng Kung University, Tainan, Taiwan.
  • Chien-Yu Huang
    Department of Occupational Therapy, I-Shou University, Kaohsiung, Taiwan.
  • Shih-Chieh Lee
    Department of BioIndustry Technology, Da-Yeh University, No. 168, University Rd., Dacun, Changhua, Taiwan, Republic of China.
  • Yu-Hui Huang
    School of Medicine, Chung Shan Medical University; and Department of Physical Medicine & Rehabilitation, Chung Shan Medical University Hospital.
  • Ching-Lin Hsieh
    School of Occupational Therapy, College of Medicine, National Taiwan University, School of Occupational Therapy, Taipei, Taiwan.

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