[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 4, Issue 1 (6-2017) ::
2017, 4(1): 59-68 Back to browse issues page
Data Mining Approach based on Neural Network and Decision Tree Methods for the Early Diagnosis of Risk of Gestational Diabetes Mellitus
Maryam Mirsharif , Saeed Rouhani
MSc in Information Technology Management, Tehran University of Science and Research, Tehran, Iran.
Abstract:   (1985 Views)
Introduction: Nowadays, in this industrial modern world, the incidence of chronic diseases has been significantly increased. Gestational diabetes mellitus is one of the major health problems that if not treated, it will cause serious complications for mother and her child. The purpose of this research was to find ways for determining the risk of gestational diabetes mellitus and making early diagnosis to prevent it in the initial stages of pregnancy.
Methods: This applied-survey research used two approaches of neural network and decision tree in experimental analysis of data and prediction. The extracted data were normalized and analyzed through Matlab software.
Results: The results showed that data-based method is effective in improving the accuracy of prediction and has good performance in discovering implied knowledge and diagnosis of hidden relationships among data. In both methods, decision errors were acceptable and very close to each other.
Conclusion: Based on the obtained results, data mining methods can be used in health centers for less familiar diseases in order to achieve on-time diagnosis, patient management and to decrease treatment costs.
Keywords: Data mining, Artificial Neural Network, Decision Tree, Gestational diabetes mellitus, Diagnosis
Full-Text [PDF 840 kb]   (5742 Downloads)    
Type of Study: Original Article | Subject: Special
Received: 2017/04/30 | Accepted: 2017/06/20
Send email to the article author

Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mirsharif M, Rouhani S. Data Mining Approach based on Neural Network and Decision Tree Methods for the Early Diagnosis of Risk of Gestational Diabetes Mellitus. Journal of Health and Biomedical Informatics. 2017; 4 (1) :59-68
URL: http://jhbmi.ir/article-1-181-en.html

Volume 4, Issue 1 (6-2017) Back to browse issues page
مجله انفورماتیک سلامت و زیست پزشکی Journal of Health and Biomedical Informatics
Persian site map - English site map - Created in 0.05 seconds with 31 queries by YEKTAWEB 3855