Prognosis of Prostate Cancer Using Machine Learning
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-11713-8_19
Reference20 articles.
1. Navarro, C.X., Molina, A.I., Redondo, M.A., Juárez-Ramírez, R.: Framework to evaluate M-learning systems: a technological and pedagogical approach. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje 11(1) (2016)
2. Rodney, S., Shah, T.T., Patel, H.R.H., Arya, M.: Key papers in prostate cancer. Expert Rev. Anticancer Therapy 14, 1379–1384 (2014)
3. Wilt, T.J., Brawer, M.K., Jones, K.M., Barry, M.J.: Radical prostatectomy versus observation for localized prostate cancer. N. Engl. J. Med. 367, 203–213 (2012)
4. Lam, D., Clark, S., Stirzaker, C., Pidsley, R.: Advances in prognostic methylation biomarkers for prostate cancer. Cancers 12, 2993 (2020)
5. Alonzo, D., Mure, A., Soloway, M.: Prostate cancer and the increasing role of active surveillance. Postgrad. Med. 125, 109–116 (2013)
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