Roza, Thiago Henrique; Seibel, Gabriel de Souza; Recamonde-Mendoza, Mariana; Lotufo, Paulo Andrade 
; Benseñor, Isabela Judith Martins ; Passos, Ives Cavalcante; Brunoni, Andre Russowsky
Fonte: Psychiatry research. Unidade: FM
Assuntos: APRENDIZADO COMPUTACIONAL, SAÚDE PÚBLICA, SUICÍDIO
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ROZA, Thiago Henrique et al. Suicide risk classification with machine learning techniques in a large Brazilian community sample. Psychiatry research, v. 325, 2023Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/54558. Acesso em: 06 nov. 2024.APA
Roza, T. H., Seibel, G. de S., Recamonde-Mendoza, M., Lotufo, P. A., Benseñor, I. J. M., Passos, I. C., & Brunoni, A. R. (2023). Suicide risk classification with machine learning techniques in a large Brazilian community sample. Psychiatry research, 325. doi:10.1016/j.psychres.2023.115258NLM
Roza TH, Seibel G de S, Recamonde-Mendoza M, Lotufo PA, Benseñor IJM, Passos IC, Brunoni AR. Suicide risk classification with machine learning techniques in a large Brazilian community sample [Internet]. Psychiatry research. 2023 ; 325[citado 2024 nov. 06 ] Available from: https://observatorio.fm.usp.br/handle/OPI/54558Vancouver
Roza TH, Seibel G de S, Recamonde-Mendoza M, Lotufo PA, Benseñor IJM, Passos IC, Brunoni AR. Suicide risk classification with machine learning techniques in a large Brazilian community sample [Internet]. Psychiatry research. 2023 ; 325[citado 2024 nov. 06 ] Available from: https://observatorio.fm.usp.br/handle/OPI/54558
