Effective heart disease prediction using hybrid machine learning techniques

Heart is the most effective and important part of our body. And in this era, heart disease became one of the leading causes for death. The projection of cardiovascular disease is most challenging tasks in the fields of healthcare. So, we need to have an ideology to develop an application which can h...

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Bibliographic Details
Main Authors: Anjaneyulu, M., Degala, Divya Priya, Devika, P., Hema, V.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Cardiovascular disease
Heart
Heart diseases
Machine learning
Pulse rate
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Summary:Heart is the most effective and important part of our body. And in this era, heart disease became one of the leading causes for death. The projection of cardiovascular disease is most challenging tasks in the fields of healthcare. So, we need to have an ideology to develop an application which can help people to find out about the occurrence of any heart related diseases in the early stages so as to prevent the harm. It is not ideal for a person to practically undergo lots of tests that are high in cost just to make sure that they are healthy. In order to avoid it we put forward a methodology where a person can detect any heart related diseases in early stages only. Here, we provided certain basic parameters like age, gender, pulse rate and more. And also, we used few machine learning techniques such as SVM, LR, NB, ANN, HRFLM and Extension Extreme Algorithms. Finally, we compare all the algorithms to get best accuracy.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0114370