An explainable online frailty prediction model for community-dwelling older adults based on machine learning algorithms: a cross-sectional study based on retrospective health data

Key Points

• The aim is to develop a machine learning model to identify frailty in older adults living in the community.
• Developed a CatBoost machine learning model
• Created an online web calculator for easy use
• Utilized retrospective health data from older adults
• Employed a cross-sectional study design
• The CatBoost model accurately predicts frailty risk
• The web calculator allows general practitioners to assess frailty easily
• Timely interventions can be initiated for high-risk individuals