Rech, M.M.; de Macedo Filho, L.; White, A.J.; Perez-Vega, C.; Samson, S.L.; Chaichana, K.L.; Olomu, O.U.; Quinones-Hinojosa, A.; Almeida, J.P.
Machine Learning Models to Forecast Outcomes of Pituitary Surgery: A Systematic Review in Quality of Reporting and Current Evidence. Brain Sci. 2023, 13, 495.
https://doi.org/10.3390/brainsci13030495
AMA Style
Rech MM, de Macedo Filho L, White AJ, Perez-Vega C, Samson SL, Chaichana KL, Olomu OU, Quinones-Hinojosa A, Almeida JP.
Machine Learning Models to Forecast Outcomes of Pituitary Surgery: A Systematic Review in Quality of Reporting and Current Evidence. Brain Sciences. 2023; 13(3):495.
https://doi.org/10.3390/brainsci13030495
Chicago/Turabian Style
Rech, Matheus M., Leonardo de Macedo Filho, Alexandra J. White, Carlos Perez-Vega, Susan L. Samson, Kaisorn L. Chaichana, Osarenoma U. Olomu, Alfredo Quinones-Hinojosa, and Joao Paulo Almeida.
2023. "Machine Learning Models to Forecast Outcomes of Pituitary Surgery: A Systematic Review in Quality of Reporting and Current Evidence" Brain Sciences 13, no. 3: 495.
https://doi.org/10.3390/brainsci13030495
APA Style
Rech, M. M., de Macedo Filho, L., White, A. J., Perez-Vega, C., Samson, S. L., Chaichana, K. L., Olomu, O. U., Quinones-Hinojosa, A., & Almeida, J. P.
(2023). Machine Learning Models to Forecast Outcomes of Pituitary Surgery: A Systematic Review in Quality of Reporting and Current Evidence. Brain Sciences, 13(3), 495.
https://doi.org/10.3390/brainsci13030495
