Artificial Neural Network System to Predict the Postoperative Outcome of Percutaneous Nephrolithotomy.

Journal: Journal of endourology
Published Date:

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

  • Alireza Aminsharifi
    1 Department of Urology, Shiraz University of Medical Sciences , Shiraz, Iran .
  • Dariush Irani
    1 Department of Urology, Shiraz University of Medical Sciences , Shiraz, Iran .
  • Shima Pooyesh
    4 Department of Computer Engineering, Yasuj Branch, Islamic Azad University , Yasuj, Iran .
  • Hamid Parvin
    5 Department of Computer Engineering, Islamic Azad University , Nourabad, Iran .
  • Sakineh Dehghani
    7 Imaging Research Center, Shiraz University of Medical Sciences , Shiraz, Iran .
  • Khalilolah Yousofi
    7 Imaging Research Center, Shiraz University of Medical Sciences , Shiraz, Iran .
  • Ebrahim Fazel
    1 Department of Urology, Shiraz University of Medical Sciences , Shiraz, Iran .
  • Fatemeh Zibaie
    1 Department of Urology, Shiraz University of Medical Sciences , Shiraz, Iran .