A Machine Learning Model for Predicting Sarcopenia Among Middle-Aged Adults: Development and External Validation.

Journal: JMIR medical informatics
Published Date:

Abstract

BACKGROUND: Sarcopenia is a common muscle disorder in older adults, and its early identification and management in middle-aged populations are essential for ensuring a healthier later life. Detecting sarcopenia at an earlier stage may reduce the future burden on health care systems and enhance the quality of life in older adults. Machine learning (ML) models can evaluate large datasets, identify essential variables, and find complicated correlations between input variables. However, using ML models to detect sarcopenia remains an unsatisfied need.

Authors

  • Hye Jin Chong
    Department of Nursing, Sunchon National University, Suncheon-si, Republic of Korea.