Ontology highlight
ABSTRACT:
SUBMITTER: Vieira S
PROVIDER: S-EPMC6942152 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
Vieira Sandra S Gong Qi-Yong QY Pinaya Walter H L WHL Scarpazza Cristina C Tognin Stefania S Crespo-Facorro Benedicto B Tordesillas-Gutierrez Diana D Ortiz-García Victor V Setien-Suero Esther E Scheepers Floortje E FE Van Haren Neeltje E M NEM Marques Tiago R TR Murray Robin M RM David Anthony A Dazzan Paola P McGuire Philip P Mechelli Andrea A
Schizophrenia bulletin 20200101 1
Despite the high level of interest in the use of machine learning (ML) and neuroimaging to detect psychosis at the individual level, the reliability of the findings is unclear due to potential methodological issues that may have inflated the existing literature. This study aimed to elucidate the extent to which the application of ML to neuroanatomical data allows detection of first episode psychosis (FEP), while putting in place methodological precautions to avoid overoptimistic results. We test ...[more]