Pain prediction model based on machine learning and SHAP values for elders with dementia in Taiwan.

Journal: International journal of medical informatics
PMID: 38743995

Abstract

INTRODUCTION: Pain conditions are common in elderly individuals, including those with dementia. However, symptoms associated with dementia may lead to poor recognition, assessment and management of pain. In this study, we incorporated the variables based on questionnaires into a machine learning algorithm to build a prediction model for the pain index of elderly individuals with dementia.

Authors

  • Shwu-Feng Tsay
    Department of Nursing and Health Care, Ministry of Health and Welfare, Taiwan; School of Nursing, National Taiwan University, Taiwan; Department of Health Services Administration, College of Public Health, China Medical University, Taiwan. Electronic address: nhphoenix@mohw.gov.tw.
  • Cheng-Yu Chang
    Department of Nursing, National Yang Ming Chiao Tung University Hospital, No.169, Siaoshe Rd., Yilan City, Yilan County 26058, Taiwan; Institute of Clinical Nursing, School of Nursing, National Yang Ming Chiao Tung University, No. 155, Section 2, Linong St, Beitou District, Taipei City 112304, Taiwan.
  • Sing Shueh Hung
    Hung Sing Shueh Home Care Center, No. 92-7, Sec. 1, Xingshe St., Xinshe Dist., Taichung City 426016, Taiwan.
  • Jui-Yuan Su
    Department of Nursing, Taipei Veterans General Hospital, No.201, Sec. 2, Shipai Rd., Beitou District, Taipei City 11217, Taiwan; School of Nursing, National Taipei University of Nursing and Health Sciences. No. 365, Ming-te Rd., Peitou Dist., Taipei City 112303, Taiwan.
  • Chao-Yang Kuo
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, 172-1, Sec. 2, Keelung Rd., 10675, Taipei City, Taiwan.
  • Pei-Fan Mu
    Institute of Clinical Nursing, School of Nursing, National Yang Ming Chiao Tung University, No. 155, Section 2, Linong St, Beitou District, Taipei City 112304, Taiwan. Electronic address: peifan0928@gmail.com.

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