Title: Intelligent techniques and applications in liver disorders: a survey

Authors: Aman Singh; Babita Pandey

Addresses: Department of Computer Science and Engineering, Lovely Professional University, Jalandhar, Punjab, India ' Department of Computer Applications, Lovely Professional University, Jalandhar, Punjab, India

Abstract: Liver disease is one of the leading causes of mortality in India, as it is in rest of the world. This paper presents a survey on intelligent techniques applied to liver disorders between the years January 1995 and January 2013. Individual ITs include artificial neural network (ANN), data mining (DM), fuzzy logic (FL) etc. Integrated ITs combine methods as artificial neural network-case-based reasoning (ANN-CBR), artificial immune system-artificial neural network-fuzzy logic (AIS-ANN-FL) etc. The different types of liver disorders covered in the study are hepatitis, liver fibrosis, liver cirrhosis, liver cancer, fatty liver, liver disorders data set, hepatitis data set and hepatobiliary disorders data set. The study identifies which ITs are applied for what types of liver disorders and on which types of disorders maximum works has been done. Another imperative fact emerging from this survey is that large part of the research work on liver disorders has been done from 2007 onwards.

Keywords: liver disease; ANNs; artificial neural networks; data mining; fuzzy logic; genetic algorithms; case-based reasoning; CBR; rule-based reasoning; artificial immune system; AIS; particle swarm optimisation; PSO; literature review; liver disorders; intelligent techniques; biomedical engineering; hepatitis; liver fibrosis; liver cirrhosis; liver cancer; fatty liver.

DOI: 10.1504/IJBET.2014.065638

International Journal of Biomedical Engineering and Technology, 2014 Vol.16 No.1, pp.27 - 70

Received: 10 May 2014
Accepted: 20 Jul 2014
Published online: 25 Apr 2015 *

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