Non-Invasive Clinical Parameters for the Prediction of Urodynamic Bladder Outlet Obstruction: Analysis Using Causal Bayesian Networks - Kim, Myong; Cheeti, Abhilash; Yoo, Changwon; Choo, Minsoo; Paick, Jae-Seung; Oh, Seung-June (PloS one, 2014)
Keywords: Aged; Bayes Theorem; Bayesian analysis; Bladder; Data processing; Flow velocity; Humans; Hyperplasia; Independent variables; Logistic Models; Male; Medicine and Health Sciences; Middle Aged; Model accuracy; Neural networks; Parameter identification; Patients; Performance prediction; Probability; Prostate; Prostate - physiopathology; Prostate cancer; Prostate specific antigen; Prostate-Specific Antigen - blood; Prostatic Hyperplasia - complications; Prostatic Hyperplasia - diagnosis; Regression analysis; Regression models; Severity of Illness Index; Statistical methods; Studies; Urinary bladder; Urinary Bladder Neck Obstruction - complications; Urinary Bladder Neck Obstruction - diagnosis; Urinary Bladder Neck Obstruction - pathology; Urodynamics; Urogenital system; Urology; Variables; Florida; United States--US