Loch, Alexandre Andrade; Ara, Anderson; Hortencio, Lucas; Marques, Julia Hatagami; Talib, Leda Leme; Andrade, Julio Cesar; Serpa, Mauricio Henriques; Sanchez, Luciano; Alves, Tania Maria; Bilt, Martinus Theodorus van de; Gattaz, Wagner Farid 
Source: Neuroscience letters. Unidade: FM
Subjects: ESQUIZOFRENIA, FATORES DE RISCO, PSICOSE EM ADULTO, SINAIS E SINTOMAS
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LOCH, Alexandre Andrade et al. Use of a Bayesian Network Model to predict psychiatric illness in individuals with 'at risk mental states' from a general population cohort. Neuroscience letters, v. 770, 2022Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/46070. Acesso em: 02 fev. 2023.APA
Loch, A. A., Ara, A., Hortencio, L., Marques, J. H., Talib, L. L., Andrade, J. C., et al. (2022). Use of a Bayesian Network Model to predict psychiatric illness in individuals with 'at risk mental states' from a general population cohort. Neuroscience letters, 770. doi:10.1016/j.neulet.2021.136358NLM
Loch AA, Ara A, Hortencio L, Marques JH, Talib LL, Andrade JC, Serpa MH, Sanchez L, Alves TM, Bilt MT van de, Gattaz WF. Use of a Bayesian Network Model to predict psychiatric illness in individuals with 'at risk mental states' from a general population cohort [Internet]. Neuroscience letters. 2022 ; 770[citado 2023 fev. 02 ] Available from: https://observatorio.fm.usp.br/handle/OPI/46070Vancouver
Loch AA, Ara A, Hortencio L, Marques JH, Talib LL, Andrade JC, Serpa MH, Sanchez L, Alves TM, Bilt MT van de, Gattaz WF. Use of a Bayesian Network Model to predict psychiatric illness in individuals with 'at risk mental states' from a general population cohort [Internet]. Neuroscience letters. 2022 ; 770[citado 2023 fev. 02 ] Available from: https://observatorio.fm.usp.br/handle/OPI/46070
