Intelligent Classification of Liver Disorder using Fuzzy Neural System
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 12
Abstract
In this study, designed an intelligent model for liver disorders based on Fuzzy Neural System (FNS) models is considered. For this purpose, fuzzy system and neural networks (FNS) are explored for the detection of liver disorders. The structure and learning algorithm of the FNS are described. In this study, we utilized dataset extracted from a renowned machine learning data base (UCI) repository. 10 folds cross-validation approach was explored for the design of the system. The designed algorithm is accurate, reliable and faster as compared to other traditional diagnostic systems. We highly recommend this framework as a specialized training tool for medical practitioners.
Authors and Affiliations
Mohammad Khaleel Sallam Ma’aitah, Rahib Abiyev, Idoko John Bush
Keywords
Related Articles
- EP ID EP251156
- DOI 10.14569/IJACSA.2017.081204
- Views 100
- Downloads 0
Mining Frequent Itemsets from Online Data Streams: Comparative Study
Online mining of data streams poses many new challenges more than mining static databases. In addition to the one-scan nature, the unbounded memory requirement, the high data arrival rate of data streams and the combinat...
Communication-Load Impact on the Performance of Processor Allocation Strategies in 2-D Mesh Multicomputer Systems
A number of processor allocation strategies have been proposed in literature. A key performance factor that can highlight the difference between these strategies is the amount of communication conducted between the paral...
Chemical Reaction Optimization for Max Flow Problem
This study presents an algorithm for MaxFlow problem using "Chemical Reaction Optimization algorithm (CRO)". CRO is a recently established meta-heuristics algorithm for optimization, inspired by the nature of chemical re...
Segmentation of Ultrasound Breast Images using Vector Neighborhood with Vector Sequencing on KMCG and augmented KMCG algorithms
B mode ultrasound (US) imaging is popular and important modality to examine the range of clinical problems and also used as complimentary to the mammogram imaging to detect and diagnose the nature breast tumor. To unders...
SIP Signaling Implementations and Performance Enhancement over MANET: A Survey
The implementation of the Session Initiation Protocol (SIP)-based Voice over Internet Protocol (VoIP) and multimedia over MANET is still a challenging issue. Many routing factors affect the performance of SIP signaling a...