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Reseach Article

Decision Support System for the Assessment of Risk Factors for Type 2 Diabetes and Minimizing the Risk for Complications

by Soumaya Fellaji, Abdellah Azmani, Abdelhadi Akharif
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 1
Year of Publication: 2015
Authors: Soumaya Fellaji, Abdellah Azmani, Abdelhadi Akharif
10.5120/21661-4717

Soumaya Fellaji, Abdellah Azmani, Abdelhadi Akharif . Decision Support System for the Assessment of Risk Factors for Type 2 Diabetes and Minimizing the Risk for Complications. International Journal of Computer Applications. 122, 1 ( July 2015), 1-5. DOI=10.5120/21661-4717

@article{ 10.5120/21661-4717,
author = { Soumaya Fellaji, Abdellah Azmani, Abdelhadi Akharif },
title = { Decision Support System for the Assessment of Risk Factors for Type 2 Diabetes and Minimizing the Risk for Complications },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 1 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number1/21661-4717/ },
doi = { 10.5120/21661-4717 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:09:25.237330+05:30
%A Soumaya Fellaji
%A Abdellah Azmani
%A Abdelhadi Akharif
%T Decision Support System for the Assessment of Risk Factors for Type 2 Diabetes and Minimizing the Risk for Complications
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 1
%P 1-5
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Type 2 diabetes is an epidemic disease that knows an exponential increase all over the world. Its micro and macro vascular complications are multiple and they are responsible for many deaths worldwide. To cope with this problem, and exploiting the success of artificial intelligence methods in the field of prevention and decision making in various areas, it becomes essential to think about modeling a decision support system to improve the quality of life of patients with type 2 diabetes and to reduce the risk of its complications. The proposed model provides results showing the usefulness and ability of this artificial intelligence technique for decision making in order to improve the quality of life of patients with type 2 diabetes and to reduce the risk of its complications.

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Index Terms

Computer Science
Information Sciences

Keywords

Health quality type 2 diabetes Bayesian Networks Decision Support System Complications of Type 2 Diabetes.