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Diabetes Detection using Genetic Programming

by Rashmi Sonawane, Sonali Patil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 127 - Number 10
Year of Publication: 2015
Authors: Rashmi Sonawane, Sonali Patil
10.5120/ijca2015906503

Rashmi Sonawane, Sonali Patil . Diabetes Detection using Genetic Programming. International Journal of Computer Applications. 127, 10 ( October 2015), 12-16. DOI=10.5120/ijca2015906503

@article{ 10.5120/ijca2015906503,
author = { Rashmi Sonawane, Sonali Patil },
title = { Diabetes Detection using Genetic Programming },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 127 },
number = { 10 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume127/number10/22764-2015906503/ },
doi = { 10.5120/ijca2015906503 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:19:32.515907+05:30
%A Rashmi Sonawane
%A Sonali Patil
%T Diabetes Detection using Genetic Programming
%J International Journal of Computer Applications
%@ 0975-8887
%V 127
%N 10
%P 12-16
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Diabetes is a flopping of the body caused due to the absence of insulin and has gained popularity, globally. Physicians analyze diabetes using a blood glucose test; we cannot visibly categorize the person as diabetic or not based on these indicators. A pre-diabetic stage can aware the doctors and the patient about the denigrating health and can conscious the patient about the concerned measures. So proposed work intend a multi-class genetic programming (GP) based classifier design that will help the medical practitioner to confirm his/her diagnosis towards pre-diabetic, diabetic and non-diabetic patients. This system will design in two phases, first phase consist generation of a single feature from available features using Genetic Programming from the training data. The second phase consists of use the test data for checking of the classifier. Analysis of diabetes can be complemented by this GP based classifier.

References
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  7. Filipe de L. Arcanjo, Gisele L. Pappa, Paulo V. Bicalho, Wagner Meira Jr., Altigran S. da Silva, “Semi-supervised Genetic Programming for Classification”, GECCO’11, July 12–16, 2011, Dublin, Ireland.
  8. Guidelines on diabetes, pre-diabetes, and cardiovascular diseases, The Task Force on Diabetes and Cardiovascular Diseases of the European Society of Cardiology (ESC) and of the European Association for the Study of Diabetes (EASD), European Heart Journal.
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Genetic Programming Diabetic Non-Diabetic Pre-Diabetic Classification.

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