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A Hybrid-based Medical Decision Support System
by
Ifeanyi Charles Emeto,
Chidiebere Ugwu
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 134 - Number 12 |
| Year of Publication: 2016 |
| Authors: Ifeanyi Charles Emeto, Chidiebere Ugwu |
10.5120/ijca2016908015
|
Ifeanyi Charles Emeto, Chidiebere Ugwu . A Hybrid-based Medical Decision Support System. International Journal of Computer Applications. 134, 12 ( January 2016), 12-18. DOI=10.5120/ijca2016908015
@article{
10.5120/ijca2016908015,
author = {
Ifeanyi Charles Emeto,
Chidiebere Ugwu
},
title = { A Hybrid-based Medical Decision Support System },
journal = {
International Journal of Computer Applications
},
issue_date = { January 2016 },
volume = { 134 },
number = { 12 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = {
12-18
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume134/number12/23965-2016908015/
},
doi = { 10.5120/ijca2016908015 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:34:01.409935+05:30
%A Ifeanyi Charles Emeto
%A Chidiebere Ugwu
%T A Hybrid-based Medical Decision Support System
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 12
%P 12-18
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper presents a hybrid model of genetic and back propagation algorithm for the development of a decision support system for kidney stone. The initialization and optimization of the weights connection of ANN for improved performance was done with genetic algorithm. Object oriented analysis and design methodology was used for the design, java programming language was used for the interfaces and database respectively. Experimental results show that the hybrid model classified at higher accuracy 98.84%. This implies that the hybrid system is good for clinical decision making.
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Index Terms
Computer Science
Information Sciences
Keywords