A neural network - based algorithm for predicting stone -free status after ESWL therapy

ABSTRACT Objective: The prototype artificial neural network (ANN) model was developed using data from patients with renal stone, in order to predict stone-free status and to help in planning treatment with Extracorporeal Shock Wave Lithotripsy (ESWL) for kidney stones. Materials and Methods: Data...

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Bibliographic Details
Main Authors: Ilker Seckiner, Serap Seckiner, Haluk Sen, Omer Bayrak, Kazım Dogan, Sakip Erturhan
Format: Article
Language:English
Published: Sociedade Brasileira de Urologia
Series:International Brazilian Journal of Urology
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382017000601110&lng=en&tlng=en