[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 23, Issue 4 (10-2015) ::
sjimu 2015, 23(4): 239-247 Back to browse issues page
Data Mining Techniques to Diagnose Diabetes Using Blood Lipids
Reza Rafeh 1, Mohammad Arbabi2
1- Arak University , r-rafeh@araku.ac.ir
2- Islamic Azad University, Malayer Branch
Abstract:   (5987 Views)

Introduction: Nowadays, diabetic disease is one of the most common, dangerous and costly diseases in the world spreading rapidly. Data mining techniques can be used for early diagnosis of this disease which results in preventing a lot of problems for patients including heart diseases, vision problems and kidney disorders.

Matherials & methods: In this research, the Rapid Miner software has been used as a modeling tool to classify each patient as either diabetic or non-diabetic. The data set of this research has been collected from the database of one lab in Nahavand which includes the information of 5706 patients in a five years period from 2009 to 2013. The data set includes such information about patients as: age, gender, the level of lipid in the blood and the amount of fasting blood sugar.

Findings: After modeling with different classification techniques, the best accuracy achieved from the decision tree c4.5 which was 90.02%.

Discussion & Conclusion: For early diagnosis of diabetes in many countries around the world many techniques have been proposed using a variety of methods and variables. In the current research, using the relationship between blood lipids and fasting blood sugar, a method based on data mining techniques for diagnosing diabetes has been proposed.

Keywords: Data Mining, Diabetes, Classification techniques, Decision tree C4.5.
Full-Text [PDF 476 kb]   (7188 Downloads)    
Type of Study: Research | Subject: stats
Received: 2015/01/2 | Accepted: 2015/04/12 | Published: 2015/12/19
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


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

Rafeh R, Arbabi M. Data Mining Techniques to Diagnose Diabetes Using Blood Lipids. sjimu. 2015; 23 (4) :239-247
URL: http://sjimu.medilam.ac.ir/article-1-2422-en.html


Volume 23, Issue 4 (10-2015) Back to browse issues page
مجله علمی پزوهشی دانشگاه علوم پزشکی ایلام scientific journal of ilam university of medical sciences
Persian site map - English site map - Created in 0.2 seconds with 33 queries by YEKTAWEB 3986