Use association rules to study the relation between variables that affect high blood pressure

Tahmasebian, Shahram. and Ahmadzadeh, Marzieh. and Jahandideh, Fuad. and Salehnasab, Cirruse. (2014) Use association rules to study the relation between variables that affect high blood pressure. Journal of Iranian Association of Medical Informatics, 1 (1).


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Introduction :Due to the increasing development of industrial societies, special diseases were spread in this regard, particularly in Iran, because of improper life style of eating and physical activity, the prevalence of these diseases is high. One of these diseases is high blood pressure, which is the origin of many other diseases and thus, increase costs of the health budget is allocated to it. Usually the types of jobs, lack of exercise and poor diet can have a large impact on the disease. Methods :In this study, we try to use data mining algorithms; important relation between disease and high blood pressure are effective features, data on 1000 patients who entered our survey. Results and conclusions: This review was undertaken with association rules employment physical factors and smoking in people with low blood pressure have been seen. Obesity BMI above the low green fruit consumption in people with high blood pressure has been seen together.

Item Type: Article
Uncontrolled Keywords: Keywords: High blood pressure, data mining, association rules, APRIORI algorithm
Subjects: WG Cardiovascular System
Divisions: Reserach Vice-Chancellar Department > Cellular and Molecular Research Center
Depositing User: Users 1 not found.
Date Deposited: 24 Sep 2017 11:11
Last Modified: 03 Mar 2018 10:07

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