*Multivariate Model 1: Modeling by using 5 variables: age, logarithm of tPSA, logarithm of prostate volume, result of DRE, result of transrectal ultrasound.**Multivariate Model 2: Modeling by using 6
Primary outcome(s): Association of Mulkimarker expression pattern and synchronous neoplasm Study Design: Observational Study Model : Case-control, Time Perspective : Others, Enrollment : 50, Biospecim
In recent years, researchers have proven the effectiveness and speediness of machine learning-based cancer diagnosis models. However, it is difficult to explain the results generated by machine learni
