Data Mining Approach for the Early Risk Assessment of Gestational Diabetes Mellitus

Author:

Rouhani Saeed1,Maryam MirSharif 1

Affiliation:

1. University of Tehran, Tehran, Islamic Republic of Iran

Abstract

In this article, the authors proposed the method of medical diagnosis in gestational diabetes mellitus (GDM) in the initial stages of pregnancy to facilitate diagnoses and prevent the affection. Nowadays, in industrial modern world with changing lifestyle alimental manner the incidence of complex disease has been increasingly grown. GDM is a chronic disease and one of the major health problems that is often diagnosed in middle or late period of pregnancy, when it is too late for prediction. If it is not treated, it will make serious complications and various side effects for mother and child. This article is designed for answering to the question of: “What is the best approach in timely and accurate prediction of GDM?” Thus, the artificial neural network and decision tree are proposed to reduce the amount of error and the level of accuracy in anticipating and improving the precision of prediction. The results illustrate that intelligent diagnosis systems can improve the quality of healthcare, timely prediction, prevention, and knowledge discovery in bioinformatics.

Publisher

IGI Global

Subject

General Medicine

Reference24 articles.

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2. Gestational Diabetes Mellitus

3. Cunningham, F., Leveno, K., Bloom, S., Hauth, J., Rouse, D., & Spong, C. (2010). Williams Obstetrics (23rd ed.). New York: McGraw Hill.

4. Comparative Analysis of Data Mining Tools and Classification Techniques using WEKA in Medical Bioinformatics.;S. K.David;Computer Engineering and Intelligent Systems,2013

5. Analysis of Various Data Mining Techniques to Predict Diabetes Mellitus.;M. R.Devi;International Journal of Applied Engineering Research,2016

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Potential value and impact of data mining and machine learning in clinical diagnostics;Critical Reviews in Clinical Laboratory Sciences;2021-03-19

2. The Innovative Biomarkers and Machine Learning Approaches in Gestational Diabetes Mellitus (GDM): A Short Review;International Conference on Mobile Computing and Sustainable Informatics;2020-12-01

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