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Anticipating manic and depressive transitions in patients with bipolar disorder using early warning signals.

Fionneke M BosMarieke J SchreuderSandip V GeorgeBennard DoornbosRichard BruggemanLian van der KriekeBartholomeus C M HaarmanMarieke WichersEvelien Snippe
Published in: International journal of bipolar disorders (2022)
EWS show theoretical promise in anticipating manic and depressive transitions in bipolar disorder, but the level of false positives and negatives, as well as the heterogeneity within and between individuals and preprocessing methods currently limit clinical utility.
Keyphrases
  • bipolar disorder
  • major depressive disorder
  • big data
  • machine learning