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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • APC: 500 USD
    • Managing Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: Inspec (IET), CNKI Google Scholar, EBSCO, ProQuest, Crossref, Ulrich Periodicals Directory, Chemical Abstracts Services (CAS), etc.
    • E-mail: ijet_Editor@126.com
Editor-in-chief
IJET 2022 Vol.14(4): 79-83 ISSN: 1793-8236
DOI: 10.7763/IJET.2022.V14.1207

Auxiliary Diagnosis Method of Chest Pain Based on Machine Learning

Wen Gao, Rong Yu, Zhaolei Yu, Zhuang Ma, and Md Masum

Abstract—Chest pain is sudden, its pathological causes are complex and various, fatal or non-fatal so that improving the diagnostic accuracy is extremely important in the emergency system of prehospital and hospitals. Therefore, we propose a method of introducing a decision tree, support vector machine, and KNN algorithm in machine learning into the auxiliary diagnosis of chest pain. First select the algorithm with better performance among decision tree, support vector machine, and KNN algorithm; Then compare the classification performance of the CART algorithm, the support vector machine using the Gaussian kernel function, and the K nearest neighbor algorithm using the Euclidean distance to select the best; Finally, through the analysis of the experimental results, the support vector machine algorithm with Gaussian kernel function is obtained. Its detection time and diagnosis accuracy rate are the best among the three algorithms, which can assist medical staff in the emergency system to carry out targeted chest pain diagnosis.

Index Terms—Chest pain diagnosis, machine learning, decision tree, support vector machine, KNN, classification accuracy, comparison selection.

Wen Gao, Rong Yu, Zhuang Ma, and MD MASUM are with the School of Information and Electronic Engineering, Shandong Technology and Business University, China (e-mail: wengao@sdtbu.edu.cn, yurong82@qq.com, mazhuang550043@163.com, md.masum.bd@outlook.com). 

Zhaolei Yu is with Yan Tai En Bang Electronic Technology Co., Ltd., China (e-mail: 2606442593@qq.com).

[PDF]

Cite: Wen Gao, Rong Yu, Zhaolei Yu, Zhuang Ma, and Md Masum, "Auxiliary Diagnosis Method of Chest Pain Based on Machine Learning," International Journal of Engineering and Technology vol. 14, no. 4, pp. 79-83, 2022.

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