Development and validation of a machine learning-based prediction model for frailty in older adults with diabetes: a study protocol for a retrospective cohort study
Retrospective cohort study develops a machine learning model predicting frailty in older adults with diabetes, highlighting critical health implications.
Key Points
This study develops a prediction model for frailty, identifying key predictors in older adults with diabetes.
The model's performance will be validated using receiver operating characteristic curves and internal validation techniques.
Data is sourced from the China Health and Retirement Longitudinal Study, spanning from 2011 through 2020.
The study aims to enhance early identification of frailty, potentially improving health outcomes in this at-risk population.