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:: Volume 7, Issue 4 (3-2021) ::
2021, 7(4): 354-367 Back to browse issues page
A Case Study of the Impact of Parental Diseases on the Probability of Hypertension Using Data Mining Techniques
Amin Ghaderi Niri, Nacer Farajzadeh , Elahe Baybordi
Associate Professor, Faculty of Information Technology and Computer Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran
Abstract:   (414 Views)
Introduction: Hypertension is one of the most common health problems. As it has a major impact on other serious diseases such as cardiovascular diseases and strokes, and due to not having any specific symptoms, it is known as a silent killer. Therefore, proper diagnosis, control, and treatment of hypertension is crucial in health care systems and will indeed prevent the development of the other diseases affected by. Studies have shown a strong connection between some diseases of parents and the probability of having hypertension in children.
Method: In this study, using data collected from two health centers in Ardabil province and applying data mining techniques and Rapid Miner software, the impact of parental diseases on the probability of hypertension in children was investigated.
Results: The results indicated that using paternal medical history on hypertension, premature coronary artery disease, hypercholesterolemia, and hyperthyroidism has a significant role in predicting hypertension in children. Moreover, the performance of the predictive model, developed using the collected samples and data mining techniques, was enhanced by 5%.
Conclusion: Some diseases of parents, especially hypertension, increase the risk of hypertension in children. However, individual characteristics are the major determinants of this complication.
Keywords: Hypertension, Artificial Intelligence, Machine Learning, Data mining, Prediction, Paternal Medical History
Full-Text [PDF 1039 kb]   (159 Downloads)    
Type of Study: Original Article | Subject: Artificial Intelligence in Healthcare
Received: 2019/11/14 | Accepted: 2020/04/27
Audio file [MP3 2365 KB]  (36 Download)
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Ghaderi Niri A, Farajzadeh N, Baybordi E. A Case Study of the Impact of Parental Diseases on the Probability of Hypertension Using Data Mining Techniques. Journal of Health and Biomedical Informatics. 2021; 7 (4) :354-367
URL: http://jhbmi.ir/article-1-459-en.html


Volume 7, Issue 4 (3-2021) Back to browse issues page
مجله انفورماتیک سلامت و زیست پزشکی Journal of Health and Biomedical Informatics
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