Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study.
Journal:
JMIR aging
PMID:
40262171
Abstract
BACKGROUND: Frailty is defined as a clinical state of increased vulnerability due to the age-associated decline of an individual's physical function resulting in increased morbidity and mortality when exposed to acute stressors. Early identification and management can reverse individuals with frailty to being robust once more. However, we found no integration of machine learning (ML) tools and frailty screening and surveillance studies in Thailand despite the abundance of evidence of frailty assessment using ML globally and in Asia.