A MODEL TO PREDICT HEART DISEASE TREATMENT USING DATA MINING

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MAZAHERI SAJAD; ASHOORI MARYAM; BECHARI ZEYNAB

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Journal: Payavard Salamat Year:2017 | Volume:11 | Issue:3 Page(s): 287-296

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Information Journal Paper

Title

A MODEL TO PREDICT HEART DISEASE TREATMENT USING DATA MINING

Author(s)

MAZAHERI SAJAD | ASHOORI MARYAM | BECHARI ZEYNAB | Issue Writer Certificate

Keywords

DATA MININGQ1

HEART DISEASEQ1

PREDICTIONQ1

CUREQ1

DECISION TREEQ1

NEURAL NETWORKQ2

Abstract

Background and Aim: Nowadays HEART DISEASE is very common and is a major cause of mortality. Proper and early diagnosis of this disease is very important.Diagnostic methods and treatments of the disease are so expensive and have many side effects. Therefore, researchers are looking for cheaper ways to diagnose it with high precision. This study aimed to identify a model for the treatment of HEART DISEASE.Materials and Methods: In this descriptive cross-sectional study, the sampling method was census. The sample consisted of data from Khatam and Ali Ibn Abi Talib Hospitals in Zahedan. The data were developed as an Excel file, and Clementine12.0 software was used for data analysis. In the present study, C5.0, C & R Tree, CHAID, and QUEST algorithms and artificial NEURAL NETWORK were carried out on the collected data.Results: The accuracy of 76.04 by C & R algorithm indicates the better performance of DECISION TREE Algorithms than that of the NEURAL NETWORK.Conclusion: This study aimed to provide a model for the PREDICTION of a suitable HEART DISEASE treatment to reduce treatment costs and provide better quality of services for physicians. Due to considerable implementation risks of invasive diagnostic procedures such as angiography and also obtaining successful experiences of data analysis in medicine, this study has presented a model based on data analysis techniques. The improvable point of this model is the provision of a decision support system to help physicians to increase the accuracy of diagnosis in the treatment of diseases.

Cites

Evaluation of Data Mining Algorithms for Detection of Liver Disease

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APA: Copy

MAZAHERI, SAJAD, ASHOORI, MARYAM, & BECHARI, ZEYNAB. (2017). A MODEL TO PREDICT HEART DISEASE TREATMENT USING DATA MINING. PAYAVARD-SALAMAT, 11(3 ), 287-296. SID. https://sid.ir/paper/149648/en

Vancouver: Copy

MAZAHERI SAJAD, ASHOORI MARYAM, BECHARI ZEYNAB. A MODEL TO PREDICT HEART DISEASE TREATMENT USING DATA MINING. PAYAVARD-SALAMAT[Internet]. 2017;11(3 ):287-296. Available from: https://sid.ir/paper/149648/en

IEEE: Copy

SAJAD MAZAHERI, MARYAM ASHOORI, and ZEYNAB BECHARI, “A MODEL TO PREDICT HEART DISEASE TREATMENT USING DATA MINING,” PAYAVARD-SALAMAT, vol. 11, no. 3 , pp. 287–296, 2017, [Online]. Available: https://sid.ir/paper/149648/en

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