Identifying clinical clusters with distinct trajectories in first-episode psychosis through an unsupervised machine learning technique

Amoretti, S.; Cuesta, M.J.; González-Pinto, A.; Rabelo-da-Ponte, F.D.; Mezquida, G.; Bernardo, M.; Verdolini, N.; Carvalho, A.F.; De-la-Cámara, C.; Corripio, I.; Gomez-Ramiro, M.; Serra, M.; Vieta, E.; Solé, B.; Mané, A.; Pina-Camacho, L.; Díaz-Caneja, C.M.; de la Serna, E.

doi:10.1016/j.euroneuro.2021.01.095

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Identifying clinical clusters with distinct trajectories in first-episode psychosis through an unsupervised machine learning technique - Amoretti, S. et al - ART-2021-123389

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