Liver fibrosis diagnosis support using the Dempster–Shafer theory extended for fuzzy focal elements-Reference-Cited by-同舟云学术

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Liver fibrosis diagnosis support using the Dempster–Shafer theory extended for fuzzy focal elements

Published:2018-11 Issue: Volume:76 Page:67-79
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Porebski Sebastian,Porwik Piotr,Straszecka Ewa,Orczyk Tomasz

Funder

Institute of Electronics, Silesian University of Technology, Gliwice and Institute of Computer Science, University of Silesia, Katowice

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference49 articles.

1. Liver fibrosis;Bataller;J. Clin. Invest.,2005

2. An algorithm for the grading of activity in chronic hepatitis C;Bedossa;Hepatology,1996

3. Clinical Decision Support Systems: Theory and Practice;Berner,2010

4. Diagnostic accuracy and prognostic significance of blood fibrosis tests and liver stiffness measurement by FibroScan in non-alcoholic fatty liver disease;Boursier;J. Hepatol.,2016

5. Burduk, R., 2014. The AdaBoost algorithm with the imprecision determine the weights of the observations. In: Lecture notes in artificial intelligence. 6th Asian conference on intelligent information and database systems, Bangkok, Thailand, pp. 110–116.

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