文献类型： 会议论文
第一作者： Pinaki Ghosh
作者： Pinaki Ghosh 1 ; Umesh Kumar Lilhore 2 ; Sarita Simaiya 3 ; Atul Garg 3 ; Devendra Prasad 4 ; Ajay Kumar 3 ;
作者机构： 1.Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India,Institute of Advance Computing. SAGE University. Bhopal. India
2.KIET Group of Institutions, Delhi-NCR, Ghaziabad, India,KIET Group of Institutions, Delhi-NCR Ghaziabad, (UP), India
3.Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
4.Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India,Department of Computer Science and Engineering, Panipat Institute of Engineering & Technology, Panipat, India
关键词： Machine learning;Prediction model;Heart attack prediction;Cardiovascular diseases;Decision tree;Random forest;Naive Bayes;Multilayer perceptron
会议名称： International Conference on data, engineering and applications
主办单位：
页码： 613-621
摘要： Heart attack is the number one cause of global mortality. As per World Health Organization (WHO), 17.9 million lives are lost each year from heart-related diseases, representing 32% of all deaths worldwide. The cases of heart attacks are increasing day by day at an alarming rate. It is essential to predict any such risks. This paper is focused on which patients are more likely to have heart disease. In this paper, numerous machine learning models for anticipating the risk of heart attack are addressed. Such algorithms are implemented on a wide range of datasets and the results are compared.
分类号： tp3
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