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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Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
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Series: | Frontiers in Psychiatry |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1515549/full |
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