Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression.

ABSTRACT: Given the limitations of traditional approaches, wearable artificial intelligence (AI) is one of the technologies that have been exploited to detect or predict depression. The current review aimed at examining the performance of wearable AI in detecting and predicting depression. The search sources in this systematic review were 8 electronic databases. Study selection, data extraction, and risk of bias assessment were carried out by two reviewers independently. The extracted results were synthesized narratively and statistically. Of the 1314 citations retrieved from the databases, 54 studies were included in this review. The pooled mean of the highest accuracy, sensitivity, specificity, and root mean square error (RMSE) was 0.89, 0.87, 0.93, and 4.55, respectively. The pooled mean of lowes

SUBMITTER: Abd-Alrazaq A 

PROVIDER: S-EPMC10163239 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature