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