Application of machine learning approaches in predicting clinical outcomes in older adults - a systematic review and meta-analysis.

ABSTRACT:

Background

Machine learning-based prediction models have the potential to have a considerable positive impact on geriatric care.

Design

Systematic review and meta-analyses.

Participants

Older adults (≥ 65 years) in any setting.

Intervention

Machine learning models for predicting clinical outcomes in older adults were evaluated. A random-effects meta-analysis was conducted in two grouped cohorts, where the predictive models were compared based on their performance in predicting mortality i) under and including 6 months ii) over 6 months.

Outcome measures

Studies were grouped into two groups by the clinical outcome, and the models were compared based on the area under the receiver operating characteristic curve metric.

Results

Thirty-seven studies t

SUBMITTER: Olender RT 

PROVIDER: S-EPMC10503191 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature