Intelligent predictive risk assessment and management of sarcopenia in chronic disease patients using machine learning and a web-based tool.

Journal: European journal of medical research
PMID:

Abstract

BACKGROUND: Individuals with chronic diseases are at higher risk of sarcopenia, and precise prediction is essential for its prevention. This study aims to develop a risk scoring model using longitudinal data to predict the probability of sarcopenia in this population over next 3-5 years, thereby enabling early warning and intervention.

Authors

  • Ke Rong
    Department of Pulmonary and Critical Care Medicine, Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
  • Gu Li Jiang Yi Ke Ran
    Kuitun Hospital of Ili Kazakh Autonomous Prefecture, Kuitun, Chongqing, 833200, China.
  • Changgui Zhou
    Department of Pulmonary and Critical Care Medicine, Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
  • Xinglin Yi
    The First Hospital Affiliated with Third Military Medical University, Chongqing, China. xinglinyi2024@163.com.