Int. J. Biomedical Engineering and Technology, Vol. 16, No. 1, 2014 27 Copyright © 2014 Inderscience Enterprises Ltd. Intelligent techniques and applications in liver disorders: a survey Aman Singh* Department of Computer Science and Engineering, Lovely Professional University, Jalandhar, Punjab, India Email: amansingh.x@gmail.com *Corresponding author Babita Pandey Department of Computer Applications, Lovely Professional University, Jalandhar, Punjab, India Email: shukla_babita@yahoo.co.in 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: ANNs; artificial neural networks; data mining; fuzzy logic; genetic algorithm; case-based reasoning; rule-based reasoning; artificial immune system; particle swarm optimisation; literature survey; liver disorders; intelligent techniques; biomedical engineering. Reference to this paper should be made as follows: Singh, A. and Pandey, B. (2014) ‘Intelligent techniques and applications in liver disorders: a survey’, Int. J. Biomedical Engineering and Technology, Vol. 16, No. 1, pp.27–70. Biographical notes: Aman Singh is working as an Assistant Professor in Department of Computer Science and Engineering at Lovely Professional University, Punjab, India. He has about two years of teaching experience and his areas of interest are biomedical engineering, information security, cyber crime and computer forensics. Babita Pandey is an Associate Professor at the School of Computer Engineering in Lovely Professional University, Punjab, India. She has over four years of teaching experience and has published around 30 research papers and articles. Her main research interests are AI and multi-agent system and its application to medicine, e-commerce and semantic web.