Snyder, James; Wells, Michael; Poisson, Laila; Kalkanis, Steven; Noushmehr, Houtan 
; Robin, Adam
Fonte: Neuro-oncology. Nome do evento: Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology. Unidade: FMRP
Assuntos: ENSAIO CLÍNICO, MENINGIOMA, GLÂNDULA PITUITÁRIA, NEOPLASIAS CEREBRAIS, ASTROCITOMA
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ABNT
SNYDER, James et al. Clinical data that matters: a distillation of neuro-oncology clinical trial inclusion criteria using machine learning. Neuro-oncology. Oxford: Society for Neuro-Oncology. Disponível em: https://doi.org/10.1093/neuonc/noz175.558. Acesso em: 03 nov. 2025. , 2019APA
Snyder, J., Wells, M., Poisson, L., Kalkanis, S., Noushmehr, H., & Robin, A. (2019). Clinical data that matters: a distillation of neuro-oncology clinical trial inclusion criteria using machine learning. Neuro-oncology. Oxford: Society for Neuro-Oncology. doi:10.1093/neuonc/noz175.558NLM
Snyder J, Wells M, Poisson L, Kalkanis S, Noushmehr H, Robin A. Clinical data that matters: a distillation of neuro-oncology clinical trial inclusion criteria using machine learning [Internet]. Neuro-oncology. 2019 ; 21 vi133.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1093/neuonc/noz175.558Vancouver
Snyder J, Wells M, Poisson L, Kalkanis S, Noushmehr H, Robin A. Clinical data that matters: a distillation of neuro-oncology clinical trial inclusion criteria using machine learning [Internet]. Neuro-oncology. 2019 ; 21 vi133.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1093/neuonc/noz175.558
