Prostate cancer prediction using the random forest algorithm that takes into account transrectal ultrasound findings, age, and serum levels of prostate-specific antigen

MLA

Yong-Zhong Li, et al. “Prostate Cancer Prediction Using the Random Forest Algorithm That Takes into Account Transrectal Ultrasound Findings, Age, and Serum Levels of Prostate-Specific Antigen.” Asian Journal of Andrology, vol. 19, Jan. 2017, p. 586. EBSCOhost, https://doi.org/10.4103/1008-682x.186884.

APA

Yong-Zhong Li, Liangcheng Xiang, Pei-Ran Chen, Lihong Xiao, Ping Feng, Zhong-Ping Gou, & Mei Li. (2017). Prostate cancer prediction using the random forest algorithm that takes into account transrectal ultrasound findings, age, and serum levels of prostate-specific antigen. Asian Journal of Andrology, 19, 586. https://doi.org/10.4103/1008-682x.186884

Chicago

Yong-Zhong Li, Liangcheng Xiang, Pei-Ran Chen, Lihong Xiao, Ping Feng, Zhong-Ping Gou, and Mei Li. 2017. “Prostate Cancer Prediction Using the Random Forest Algorithm That Takes into Account Transrectal Ultrasound Findings, Age, and Serum Levels of Prostate-Specific Antigen.” Asian Journal of Andrology 19 (January): 586. doi:10.4103/1008-682x.186884.