Machine learning-based prediction of anxiety disorders using blood metabolite and social trait data from the UK Biobank
Anxiety disorders are the most prevalent type of mental health disorders and are characterised by excessive fear and worry. Despite affecting one in four individuals within their lifetime, there remains a gap in our understanding regarding the underlying pathophysiology of anxiety disorders, which l...
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| Main Authors: | Annabel Smith, Jack J. Miller, Daniel C. Anthony, Daniel E. Radford-Smith |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Brain, Behavior, & Immunity - Health |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666354625000687 |
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