Prediction of frailty in community older adults based on machine learning: a systematic review and meta-analysis.

ABSTRACT:

Background

An increasing number of predictive models for frailty in community-dwelling older adults are now being developed using machine learning methods. Differences between model performances limit their practical application. Therefore, we conducted a systematic review and meta-analysis to summarize and evaluate the performance and clinical applicability of these risk prediction models.

Methods

PubMed, Web of Science, Embase, Cochrane Library, Scopus, CINAHL, SinoMed, VIP, CNKI, and Wanfang were searched. The search time was from the database establishment to June 10, 2025. The PROBAST+AI assessment tool was used to assess the study quality, and a meta-analysis of the area under the curve (AUC) was performed using Stata18.0 software.

Results

A total of 10 studies

SUBMITTER: Ou Y 

PROVIDER: S-EPMC12832267 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature