Machine learning for predicting survival of colorectal cancer patients (2023)
Cardoso, Lucas Buk; Parro, Vanderlei Cunha; Peres, Stela Verzinhasse 
; Curado, Maria Paula ; Fernandes, Gisele Aparecida ; Wünsch Filho, Victor ; Toporcov, Tatiana Natasha
Source: Scientific Reports. Unidade: FSP
Subjects: NEOPLASIAS COLORRETAIS, APRENDIZADO COMPUTACIONAL, TAXA DE SOBREVIVÊNCIA, REGISTROS HOSPITALARES, INCIDÊNCIA, SÃO PAULO
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CARDOSO, Lucas Buk et al. Machine learning for predicting survival of colorectal cancer patients. Scientific Reports, v. 13, p. art. 8874 [9], 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-023-35649-9. Acesso em: 09 out. 2025.APA
Cardoso, L. B., Parro, V. C., Peres, S. V., Curado, M. P., Fernandes, G. A., Wünsch Filho, V., & Toporcov, T. N. (2023). Machine learning for predicting survival of colorectal cancer patients. Scientific Reports, 13, art. 8874 [9]. doi:10.1038/s41598-023-35649-9NLM
Cardoso LB, Parro VC, Peres SV, Curado MP, Fernandes GA, Wünsch Filho V, Toporcov TN. Machine learning for predicting survival of colorectal cancer patients [Internet]. Scientific Reports. 2023 ;13 art. 8874 [9].[citado 2025 out. 09 ] Available from: https://doi.org/10.1038/s41598-023-35649-9Vancouver
Cardoso LB, Parro VC, Peres SV, Curado MP, Fernandes GA, Wünsch Filho V, Toporcov TN. Machine learning for predicting survival of colorectal cancer patients [Internet]. Scientific Reports. 2023 ;13 art. 8874 [9].[citado 2025 out. 09 ] Available from: https://doi.org/10.1038/s41598-023-35649-9
