 |
|
Machine Learning Approaches for the Prediction of Prostate Cancer according to Age and the Prostate-Specific Antigen Level
Jaegeun Lee, Seung Woo Yang, Seunghee Lee, Yun Kyong Hyon, Jinbum Kim, Long Jin, Ji Yong Lee, Jong Mok Park, Taeyoung Ha, Ju Hyun Shin, Jae Sung Lim, Yong Gil Na, Ki Hak Song
Korean J Urol Oncol. 2019;17(2):110-117. Published online 2019 Aug 30 DOI: https://doi.org/10.22465/kjuo.2019.17.2.110
|
|
Citations to this article as recorded by
 Prostate Cancer Diagnosis via Visual Representation of Tabular Data and Deep Transfer Learning
Moumen El-Melegy, Ahmed Mamdouh, Samia Ali, Mohamed Badawy, Mohamed Abou El-Ghar, Norah Saleh Alghamdi, Ayman El-Baz
Bioengineering.2024; 11(7): 635. CrossRef Medication Prescription Policy for US Veterans With Metastatic Castration-Resistant Prostate Cancer: Causal Machine Learning Approach
Deepika Gopukumar, Nirup Menon, Martin W Schoen
JMIR Medical Informatics.2024; 12: e59480. CrossRef Hospital-based prostate cancer screening in vietnamese men with lower urinary tract symptoms: a classification and regression tree model
Nguyen Chi Cuong, Nguyen Truong Vien, Nguyen Minh Thien, Phan Thanh Hai, Tran Ngoc Dang
BMC Urology.2022;[Epub] CrossRef Machine Learning Techniques in Prostate Cancer Diagnosis According to Prostate-Specific Antigen Levels and Prostate Cancer Gene 3 Score
Roberto Passera, Stefano De Luca, Cristian Fiori, Enrico Bollito, Francesco Porpiglia
The Korean Journal of Urological Oncology.2021; 19(3): 164. CrossRef
|