Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis

Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis

BackgroundDiagnosing bipolar disorder poses a challenge in clinical practice and demands a substantial time investment. With the growing utilization of artificial intelligence in mental health, researchers are endeavoring to create AI-based diagnostic models. In this context, some researchers have s...

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Bibliographic Details
Main Authors: Yi Pan, Pushi Wang, Bowen Xue, Yanbin Liu, Xinhua Shen, Shiliang Wang, Xing Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Psychiatry
Subjects:
depression
bipolar disorder
machine learning
predictive model
systematic review
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1515549/full
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