[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.22937/IJCSNS.2022.22.6.31

An Efficient Machine Learning Model for Clinical Support to Predict Heart Disease

Rao, B.Vara Prasada (Department of Computer Science & Engineering, RVR&JC College of Engineering)
Reddy, B.Satyanarayana (Department of Computer Science & Engineering, Guntur Engineering College)
Padmaja, I. Naga (Department of Information Technology, RVR&JC College of Engineering)
Kumar, K. Ashok (Department of Electronics & Communication Engineering, RVR&JC College of Engineering)

Publication Information

International Journal of Computer Science & Network Security / v.22, no.6, 2022 , pp. 223-229 More about this Journal

Abstract

Early detection can help prevent heart disease, which is one of the most common reasons for death. This paper provides a clinical support model for predicting cardiac disease. The model is built using two publicly available data sets. The admissibility and application of the the model are justified by a sequence of tests. Implementation of the model and testing are also discussed

Keywords

Efficient Machine Learning Model; Predict Heart Disease; Early Detection;

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)

Reference
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