Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach (2019)
- Authors:
- Autor USP: LAFER, BENY - FM
- Unidade: FM
- DOI: 10.1016/j.jad.2018.11.051
- Subjects: TRANSTORNO BIPOLAR; DEPRESSÃO; CLASSIFICAÇÃO DE DOENÇAS; ALGORITMOS; SINTOMAS E PATOLOGIA GERAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of affective disorders
- ISSN: 0165-0327
- Volume/Número/Paginação/Ano: v. 245, p. 279-282, 2019
- Este artigo NÃO possui versão em acesso aberto
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Status: Nenhuma versão em acesso aberto identificada -
ABNT
BELIZARIO, Gabriel Okawa et al. Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach. Journal of affective disorders, v. 245, p. 279-282, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jad.2018.11.051. Acesso em: 16 mar. 2026. -
APA
Belizario, G. O., Borges Junior, R. G., Salvini, R., Lafer, B., & Dias, R. da S. (2019). Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach. Journal of affective disorders, 245, 279-282. doi:10.1016/j.jad.2018.11.051 -
NLM
Belizario GO, Borges Junior RG, Salvini R, Lafer B, Dias R da S. Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach [Internet]. Journal of affective disorders. 2019 ; 245 279-282.[citado 2026 mar. 16 ] Available from: https://doi.org/10.1016/j.jad.2018.11.051 -
Vancouver
Belizario GO, Borges Junior RG, Salvini R, Lafer B, Dias R da S. Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach [Internet]. Journal of affective disorders. 2019 ; 245 279-282.[citado 2026 mar. 16 ] Available from: https://doi.org/10.1016/j.jad.2018.11.051 - Obesity and metabolic syndrome in a sample of brazilian bipolar patients
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