Automated development of artificial neural networks for clinical purposes: Application for predicting the outcome of choledocholithiasis surgery-Reference-Cited by-同舟云学术

Automated development of artificial neural networks for clinical purposes: Application for predicting the outcome of choledocholithiasis surgery

Published:2016-08 Issue: Volume:75 Page:80-89
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Vukicevic Arso M.,Stojadinovic Miroslav,Radovic Milos,Djordjevic Milena,Cirkovic Bojana Andjelkovic,Pejovic Tomislav,Jovicic Gordana,Filipovic Nenad

Funder

Ministry of Science and Technological Development of Serbia

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference51 articles.

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3. Validation of the Lacaine–Huguier predictive score for choledocholithiasis: prospective study of 380 patients;Khalfallah;J. Visc. Surg.,2012

4. Non-invasive assessment of choledocholithiasis in patients with gallstones and abnormal liver function;Al-Jiffry;World J. Gastroenterol.,2013

5. Nonoperative imaging techniques in suspected biliary tract obstruction;Tse;HPB (Oxf.),2006

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