Trajectories of remitted psychotic depression: identification of predictors of worsening by machine learning.

Samprit BanerjeeYiyuan WuKathleen S BinghamPatricia MarinoBarnett S MeyersBenoit H MulsantNicholas H NeufeldLindsay D OliverJonathan D PowerAnthony J RothschildJo Anne SireyAristotle N VoineskosEllen M WhyteGeorge S AlexopoulosAlastair J Flintnull null

Published in: Psychological medicine (2023)

Residual depression at onset of remission has high accuracy in predicting membership to worsening outcome of remitted MDDPsy. Research is needed to determine how best to optimize the outcome of psychotic MDDPsy with residual symptoms.

Keyphrases

depressive symptoms
machine learning
sleep quality
bipolar disorder
artificial intelligence
big data
rheumatoid arthritis
ulcerative colitis
physical activity