BJU international
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Comparative Study
Prognostic accuracy of an artificial neural network in patients undergoing radical cystectomy for bladder cancer: a comparison with logistic regression analysis.
To compare the prognostic performance of an artificial neural network (ANN) with that of standard logistic regression (LR), in patients undergoing radical cystectomy for bladder cancer. ⋯ The ANN accurately predicted the survival of patients undergoing radical cystectomy for bladder cancer and had a prognostic performance comparable with that of LR. As ANNs are based on easy-to-use software that can identify nonlinear interactions between variables, they might become the preferred tool for predicting outcome.
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To assess reports supporting the novel and comprehensive evidence-based pathway for radical prostatectomy (RP), as collaborative-care pathways have helped to optimize management of patients treated with RP and such clinical pathways provide an ideal framework for constructing an original evidence-based pathway for the complete peri-operative care of these patients. ⋯ This is the first pathway for the peri-operative management of major urological procedure that is well integrated into current literature. The critical aspects of clinical decision-making in the patient treated with RP were validated by the available research.