Develop and Validate a Prognostic Index With Laboratory Tests to Predict Mortality in Middle-Aged and Older Adults Using Machine Learning Models: A Prospective Cohort Study.

Journal: The journals of gerontology. Series A, Biological sciences and medical sciences
Published Date: May 1, 2024

Abstract

BACKGROUND: Prognostic indices can enhance personalized predictions of health burdens. However, a simple, practical, and reproducible tool is lacking for clinical use. This study aimed to develop a machine learning-based prognostic index for predicting all-cause mortality in community-dwelling older individuals.

Authors

  • Chi-Hsien Huang
    Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan; Department of Family Medicine, E-Da Hospital, Kaohsiung City, Taiwan, ROC; School of Medicine for International Students, I-Shou University, Kaohsiung City, Taiwan, ROC. Electronic address: huang.chi.hsien@h.mbox.nagoya-u.ac.jp.
  • Yao-Hwei Fang
    Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan.
  • Shu Zhang
    State University of New York, Department of Radiology, Stony Brook, New York, United States.
  • I-Chien Wu
    Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan.
  • Shu-Chun Chuang
    Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan.
  • Hsing-Yi Chang
    Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan.
  • Yi-Fen Tsai
    Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan.
  • Wei-Ting Tseng
    Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan.
  • Ray-Chin Wu
    Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan.
  • Yen-Tze Liu
    Big Data Center, Changhua Christian Hospital, Changhua, Changhua, Taiwan.
  • Li-Ming Lien
    Department of Neurology, Shin Kong Wu-Ho-Su Memorial Hospital, Taipei, Taiwan; Department of Neurology, College of Medicine, Taipei Medical University, Taipei, Taiwan.
  • Chung-Chou Juan
    Department of Surgery, Yuan's General Hospital, Kaohsiung, Taiwan.
  • Chikako Tange
    Department of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
  • Rei Otsuka
    Department of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
  • Hidenori Arai
    National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
  • Chih-Cheng Hsu
    Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan.
  • Chao Agnes Hsiung
    Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan.

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