Cunha, M; Borges, A. P; Carvalho, Vinicius Jardim 
; Fujita, André ; Castro, G. D
Source: Journal of Thoracic Oncology. Conference titles: World Conference on Lung Cancer Worldwide. Unidades: IME, BIOINFORMÁTICA
Subjects: INTELIGÊNCIA ARTIFICIAL, CUIDADOS PALIATIVOS
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ABNT
CUNHA, M et al. OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1. Journal of Thoracic Oncology. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.jtho.2021.08.038. Acesso em: 30 abr. 2024. , 2021APA
Cunha, M., Borges, A. P., Carvalho, V. J., Fujita, A., & Castro, G. D. (2021). OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1. Journal of Thoracic Oncology. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.jtho.2021.08.038NLM
Cunha M, Borges AP, Carvalho VJ, Fujita A, Castro GD. OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1 [Internet]. Journal of Thoracic Oncology. 2021 ; 16( 10): S850.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.jtho.2021.08.038Vancouver
Cunha M, Borges AP, Carvalho VJ, Fujita A, Castro GD. OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1 [Internet]. Journal of Thoracic Oncology. 2021 ; 16( 10): S850.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.jtho.2021.08.038
