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Pharmacological treatment profiles in the FACE-BD cohort: An unsupervised machine learning study, applied to a nationwide bipolar cohort✰

Sébastien Brodeur,Hugo Terrisse,Arnaud Pouchon,Ophelia Godin,Bruno Aouizerate,Valerie Aubin,Frank Bellivier,Raoul Belzeaux,Thierry Bougerol,Philippe Courtet,Caroline Dubertret,Sebastien Gard,Emmanuel Haffen,Chantal Henry,Marion Leboyer,Emilie Olié,Paul Roux,Ludovic Samalin,Raymund Schwan,Bruno Etain

Journal of Affective Disorders（2021）

Cited 5|Views11
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Abstract
•Treatment clusters were formed beyond classical bipolarity subtypes.•Treatments received during the one-year period, either in mono or polytherapy, seemed to further explain the functional evolution of the patients during this one-year follow-up.•The profiles formed according to the treatments seem to group together common patient phenotypes.
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Key words
Bipolar disorder,Maintenance treatment,Mood stabilizers,Unsupervised machine learning,Functioning
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