Machine learning-based online web calculator predicts the risk of sarcopenic obesity in older adults.

Journal: Aging clinical and experimental research
Published Date:

Abstract

BACKGROUND: Sarcopenic obesity (SO) has a higher risk of adverse health events compared to having obesity or sarcopenia alone due to the dual burden of both muscle loss and fat gain. The prevalence of SO is progressively increasing as the population ages and the obesity epidemic progresses. Currently, there are no tools for predicting the risk of SO, and this study aimed to construct a well-performing prediction tool based on machine learning.

Authors

  • Jiale Guo
    Department of Orthopedics, Chaohu Hospital of Anhui Medical University, Hefei, China.
  • Qionghan He
    Department of Infection, Chaohu Hospital of Anhui Medical University, Hefei, China.
  • Yehai Li
    Department of Orthopedics, Chaohu Hospital of Anhui Medical University, Hefei, China.