Impact of different variables on the outcome of patients with clinically confined prostate carcinoma: prediction of pathologic stage and biochemical failure using an artificial neural network.

Ziada, A M

Impact of different variables on the outcome of patients with clinically confined prostate carcinoma: prediction of pathologic stage and biochemical failure using an artificial neural network. [electronic resource] - Cancer Apr 2001 - 1653-60 p. digital

Publication Type: Evaluation Study; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.

0008-543X

10.1002/1097-0142(20010415)91:8+<1653::aid-cncr1179>3.0.co;2-b doi


Adult
Biomarkers, Tumor
Carcinoma--pathology
Disease Progression
Forecasting
Humans
Male
Neoplasm Recurrence, Local
Neoplasm Staging
Neural Networks, Computer
Preoperative Care
Prognosis
Prostatectomy
Prostatic Neoplasms--pathology
Sensitivity and Specificity
Treatment Outcome