Amatul, Zehra and Tuty Asmawaty, Abdul Kadir and Sabira, Khatun (2012) The Long-Term Prediction of Type II Diabetes Mellitus: A Review Study. In: International Conference on Computational Science and Information Management (ICoCSIM) , 3-5 December 2012 , Toba Lake, North Sumatera, Indonesia. pp. 140-146..
![[img]](http://umpir.ump.edu.my/style/images/fileicons/application_pdf.png)
|
PDF (Zehra 28-ICoCSIM)
28-ICoCSIM.pdf Download (635kB) |
Abstract
Type II Diabetes Mellitus is one of the silent killer diseases worldwide. According to the World Health Organization, 346 million people are suffering from diabetes worldwide. In this paper, we reviewed some models and systems used for diabetes prediction, comparing and exploring various related research works. We found some models and systems to predict and diagnose type II diabetes mainly for a short term. This led to the related open issues of the development of a model for the prediction of type II diabetes in the long run. We analysed the need of a relation between the major factors that lead to the development of diabetes. We aim to study the pattern behaviour in existing data. Furthermore, we have proposed to classify the data using k-means algorithm and the prediction through particle filter method. The model would be able to do long term prediction for potential persons. This would be beneficial to overcome the sharp rise of diabetes globally.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Uncontrolled Keywords: | Diabetes prediction; Type II Diabetes Mellitus |
| Subjects: | Q Science > QA Mathematics R Medicine > RC Internal medicine |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 20 Mar 2013 06:42 |
| Last Modified: | 04 Oct 2018 08:21 |
| URI: | http://umpir.ump.edu.my/id/eprint/3542 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |