Artificial Neural Network System to Predict the Postoperative Outcome of Percutaneous Nephrolithotomy.
Journal:
Journal of endourology
Published Date:
May 1, 2017
Abstract
PURPOSE: To construct, train, and apply an artificial neural network (ANN) system for prediction of different outcome variables of percutaneous nephrolithotomy (PCNL). We calculated predictive accuracy, sensitivity, and precision for each outcome variable.
Authors
Keywords
Adult
Blood Transfusion
Data Mining
Female
Humans
Kidney Calculi
Lithotripsy
Machine Learning
Male
Middle Aged
Models, Statistical
Nephrolithotomy, Percutaneous
Nephrostomy, Percutaneous
Neural Networks, Computer
Postoperative Period
Prospective Studies
Reproducibility of Results
Software
Tomography, X-Ray Computed
Treatment Outcome