Pharmacological treatment profiles in the FACE-BD cohort: An unsupervised machine learning study, applied to a nationwide bipolar cohort.
Fiche publication
Date publication
février 2021
Journal
Journal of affective disorders
Auteurs
Membres identifiés du Cancéropôle Est :
Pr HAFFEN Emmanuel
Tous les auteurs :
Brodeur S, Terrisse H, Pouchon A, Godin O, Aouizerate B, Aubin V, Bellivier F, Belzeaux R, Bougerol T, Courtet P, Dubertret C, Gard S, Haffen E, Henry C, Leboyer M, Olié E, Roux P, Samalin L, Schwan R, Etain B, Bosson JL, Polosan M
Lien Pubmed
Résumé
Despite thorough and validated clinical guidelines based on bipolar disorders subtypes, large pharmacological treatment heterogeneity remains in these patients. There is limited knowledge about the different treatment combinations used and their influence on patient outcomes. We attempted to determine profiles of patients based on their treatments and to understand the clinical characteristics associated with these treatment profiles.
Mots clés
Bipolar disorder, Functioning, Maintenance treatment, Mood stabilizers, Unsupervised machine learning
Référence
J Affect Disord. 2021 Feb 13;286:309-319