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Identifying the bridge between depression and mania: A machine learning and network approach to bipolar disorder.

Orestis ZavlisAndreas MatheouRichard Bentall
Published in: Bipolar disorders (2023)
Our results replicate key findings from past network studies on bipolar disorder, but also extend them by highlighting symptoms that bridge the two bipolar poles, while also demonstrating their clinical utility. If replicated, these endophenotypes could prove fruitful targets for prevention/intervention strategies for bipolar disorders.
Keyphrases
  • bipolar disorder
  • major depressive disorder
  • machine learning
  • randomized controlled trial
  • sleep quality
  • depressive symptoms
  • artificial intelligence
  • physical activity
  • case control
  • network analysis