Identifying clinical clusters with distinct trajectories in first-episode psychosis through an unsupervised machine learning technique
Titel:
Identifying clinical clusters with distinct trajectories in first-episode psychosis through an unsupervised machine learning technique
Auteur:
Amoretti, Silvia Verdolini, Norma Mezquida, Gisela Rabelo-da-Ponte, Francisco Diego Cuesta, Manuel J Pina-Camacho, Laura Gomez-Ramiro, Marta De-la-Cámara, Concepción González-Pinto, Ana Díaz-Caneja, Covadonga M. Corripio, Iluminada Vieta, Eduard de la Serna, Elena Mané, Anna Solé, Brisa Carvalho, André F Serra, Maria Bernardo, Miguel