Source: Journal of Affective Disorders. Unidade: FM
Subjects: TRANSTORNO OBSESSIVO-COMPULSIVO, IMAGEM POR RESSONÂNCIA MAGNÉTICA
ABNT
HOEXTER, Marcelo Q. et al. Predicting obsessive–compulsive disorder severity combining neuroimaging and machine learning methods. Journal of Affective Disorders, v. 150, n. 3, p. 1213-1216, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.jad.2013.05.041. Acesso em: 14 nov. 2024.APA
Hoexter, M. Q., Miguel, E. C., Diniz, J. B., Shavitt, R. G., Busatto, G. F., & Sato, J. R. (2013). Predicting obsessive–compulsive disorder severity combining neuroimaging and machine learning methods. Journal of Affective Disorders, 150( 3), 1213-1216. doi:10.1016/j.jad.2013.05.041NLM
Hoexter MQ, Miguel EC, Diniz JB, Shavitt RG, Busatto GF, Sato JR. Predicting obsessive–compulsive disorder severity combining neuroimaging and machine learning methods [Internet]. Journal of Affective Disorders. 2013 ; 150( 3): 1213-1216.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.jad.2013.05.041Vancouver
Hoexter MQ, Miguel EC, Diniz JB, Shavitt RG, Busatto GF, Sato JR. Predicting obsessive–compulsive disorder severity combining neuroimaging and machine learning methods [Internet]. Journal of Affective Disorders. 2013 ; 150( 3): 1213-1216.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.jad.2013.05.041