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Artigo de periodico
Suicide risk classification with machine learning techniques in a large Brazilian community sample (2023)
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 08 nov. 2025.
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.2023.115258
NLM
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 2025 nov. 08 ] Available from: https://observatorio.fm.usp.br/handle/OPI/54558
Vancouver
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 2025 nov. 08 ] Available from: https://observatorio.fm.usp.br/handle/OPI/54558
Artigo de periodico
Depression in mothers at childhood: Direct and indirect association with problematic gaming in late adolescence/young adulthood (2023)
Roza, Thiago Henrique; Rabelo-da-ponte, Francisco Diego; Spritzer, Daniel Tornaim; Hoffmann, Mauricio Scopel; Massuda, Raffael; Salum, Giovanni Abrahão; Miguel Filho, Eurípedes Constantino; Rohde, Luis Augusto; Pan, Pedro Mario; Kessler, Felix Henrique Paim; Gadelha, Ary; Passos, Ives Cavalcante
Fonte: Journal of psychiatric research. Unidade: FM
Assuntos: DEPRESSÃO, MÃES, JOGO PATOLÓGICO, JOGOS ELETRÔNICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROZA, Thiago Henrique et al. Depression in mothers at childhood: Direct and indirect association with problematic gaming in late adolescence/young adulthood. Journal of psychiatric research, v. 159, p. 14-21, 2023Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/54033. Acesso em: 08 nov. 2025.
APA
Roza, T. H., Rabelo-da-ponte, F. D., Spritzer, D. T., Hoffmann, M. S., Massuda, R., Salum, G. A., et al. (2023). Depression in mothers at childhood: Direct and indirect association with problematic gaming in late adolescence/young adulthood. Journal of psychiatric research, 159, 14-21. doi:10.1016/j.jpsychires.2023.01.022
NLM
Roza TH, Rabelo-da-ponte FD, Spritzer DT, Hoffmann MS, Massuda R, Salum GA, Miguel Filho EC, Rohde LA, Pan PM, Kessler FHP, Gadelha A, Passos IC. Depression in mothers at childhood: Direct and indirect association with problematic gaming in late adolescence/young adulthood [Internet]. Journal of psychiatric research. 2023 ; 159 14-21.[citado 2025 nov. 08 ] Available from: https://observatorio.fm.usp.br/handle/OPI/54033
Vancouver
Roza TH, Rabelo-da-ponte FD, Spritzer DT, Hoffmann MS, Massuda R, Salum GA, Miguel Filho EC, Rohde LA, Pan PM, Kessler FHP, Gadelha A, Passos IC. Depression in mothers at childhood: Direct and indirect association with problematic gaming in late adolescence/young adulthood [Internet]. Journal of psychiatric research. 2023 ; 159 14-21.[citado 2025 nov. 08 ] Available from: https://observatorio.fm.usp.br/handle/OPI/54033
Artigo de periodico
Predicting treatment response using EEG in major depressive disorder: a machine-learning meta-analysis (2022)
Watts, Devon; Pulice, Rafaela Fernandes; Reilly, Jim; Brunoni, Andre R.; Kapczinski, Flavio; Passos, Ives Cavalcante
Fonte: Translational psychiatry. Unidade: FM
Assuntos: DEPRESSÃO, ELETROENCEFALOGRAFIA, ESTIMULAÇÃO MAGNÉTICA TRANSCRANIANA, RESULTADO DE TRATAMENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WATTS, Devon et al. Predicting treatment response using EEG in major depressive disorder: a machine-learning meta-analysis. Translational psychiatry, v. 12, n. 1, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41398-022-02064-z. Acesso em: 08 nov. 2025.
APA
Watts, D., Pulice, R. F., Reilly, J., Brunoni, A. R., Kapczinski, F., & Passos, I. C. (2022). Predicting treatment response using EEG in major depressive disorder: a machine-learning meta-analysis. Translational psychiatry, 12( 1). doi:10.1038/s41398-022-02064-z
NLM
Watts D, Pulice RF, Reilly J, Brunoni AR, Kapczinski F, Passos IC. Predicting treatment response using EEG in major depressive disorder: a machine-learning meta-analysis [Internet]. Translational psychiatry. 2022 ; 12( 1):[citado 2025 nov. 08 ] Available from: https://doi.org/10.1038/s41398-022-02064-z
Vancouver
Watts D, Pulice RF, Reilly J, Brunoni AR, Kapczinski F, Passos IC. Predicting treatment response using EEG in major depressive disorder: a machine-learning meta-analysis [Internet]. Translational psychiatry. 2022 ; 12( 1):[citado 2025 nov. 08 ] Available from: https://doi.org/10.1038/s41398-022-02064-z
Artigo de periodico
The prevalence and clinical correlates of cannabis use and cannabis use disorder among patients with bipolar disorder: a systematic review with meta-analysis and meta-regression (2019)
Pinto, Jairo Vinícius ; Medeiros, Leonardo Simão; Rosa, Gabriel Santana da; Oliveira, Carlos Eduardo Santana de; Crippa, José Alexandre de Souza ; Passos, Ives Cavalcante ; Kauer-Sant’anna, Márcia
Fonte: Neuroscience & Biobehavioral Reviews. Unidade: FMRP
Assuntos: TRANSTORNO BIPOLAR, CANABINOIDES, TRANSTORNOS PSICÓTICOS, SUICÍDIO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINTO, Jairo Vinícius et al. The prevalence and clinical correlates of cannabis use and cannabis use disorder among patients with bipolar disorder: a systematic review with meta-analysis and meta-regression. Neuroscience & Biobehavioral Reviews, v. 101, p. 78-84, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.neubiorev.2019.04.004. Acesso em: 08 nov. 2025.
APA
Pinto, J. V., Medeiros, L. S., Rosa, G. S. da, Oliveira, C. E. S. de, Crippa, J. A. de S., Passos, I. C., & Kauer-Sant’anna, M. (2019). The prevalence and clinical correlates of cannabis use and cannabis use disorder among patients with bipolar disorder: a systematic review with meta-analysis and meta-regression. Neuroscience & Biobehavioral Reviews, 101, 78-84. doi:10.1016/j.neubiorev.2019.04.004
NLM
Pinto JV, Medeiros LS, Rosa GS da, Oliveira CES de, Crippa JA de S, Passos IC, Kauer-Sant’anna M. The prevalence and clinical correlates of cannabis use and cannabis use disorder among patients with bipolar disorder: a systematic review with meta-analysis and meta-regression [Internet]. Neuroscience & Biobehavioral Reviews. 2019 ; 101 78-84.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.neubiorev.2019.04.004
Vancouver
Pinto JV, Medeiros LS, Rosa GS da, Oliveira CES de, Crippa JA de S, Passos IC, Kauer-Sant’anna M. The prevalence and clinical correlates of cannabis use and cannabis use disorder among patients with bipolar disorder: a systematic review with meta-analysis and meta-regression [Internet]. Neuroscience & Biobehavioral Reviews. 2019 ; 101 78-84.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.neubiorev.2019.04.004

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