IMPLEMENTATION OF EPS_T2DM - Implementation of Early Prediction System for Type 2 Diabetes Mellitus

Dan Bi Kim, Ju-young Lee, Eun-jung Jang, Ji-young Lee, Taek Kim

Abstract

This paper describes the implementation of an early prediction system for Type 2 diabetes mellitus. Type 2 diabetes mellitus is a multifactorial disease. It is not only associated with an unhealthy lifestyle but also has a strong genetic component. Accordingly, in order to decrease an incidence rate of T2DM, it is important to predict T2DM risk with using multifactors which are supposed to affect T2DM. We have implemented a prediction system for T2DM, and it employs several statistical prediction models. These models are produced by statistical analysis about cohort data of Korean Genome and Epidemiology Study (KoGES), and include risk factors which are adequate for preventing T2DM in Korean populations. The prediction system is written in JSF and Java, and developed into web application which is designed through object oriented modeling. Web application of this system offers user interfaces in order to input data which is needed for predicting risk group, select predefined prediction models, and so on. The system provides the results which are predicted by selected models using inputted information.

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Paper Citation


in Harvard Style

Bi Kim D., Lee J., Jang E., Lee J. and Kim T. (2008). IMPLEMENTATION OF EPS_T2DM - Implementation of Early Prediction System for Type 2 Diabetes Mellitus . In Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008) ISBN 978-989-8111-16-6, pages 254-257. DOI: 10.5220/0001044802540257


in Bibtex Style

@conference{healthinf08,
author={Dan Bi Kim and Ju-young Lee and Eun-jung Jang and Ji-young Lee and Taek Kim},
title={IMPLEMENTATION OF EPS_T2DM - Implementation of Early Prediction System for Type 2 Diabetes Mellitus},
booktitle={Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008)},
year={2008},
pages={254-257},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001044802540257},
isbn={978-989-8111-16-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008)
TI - IMPLEMENTATION OF EPS_T2DM - Implementation of Early Prediction System for Type 2 Diabetes Mellitus
SN - 978-989-8111-16-6
AU - Bi Kim D.
AU - Lee J.
AU - Jang E.
AU - Lee J.
AU - Kim T.
PY - 2008
SP - 254
EP - 257
DO - 10.5220/0001044802540257