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An Effective Performance Analysis of Machine Learning Techniques for Cardiovascular Disease

Publication Type : Journal Article

Publisher : Applied Medical Informatics, SRIMA Publishing House

Source : Applied Medical Informatics, SRIMA Publishing House, Volume 36, Number 1, p.23 (2015)

Campus : Bengaluru

School : Department of Computer Science and Engineering, School of Engineering

Department : Computer Science, Mathematics

Year : 2015

Abstract : Abstract Machine learning techniques will help in deriving hidden knowledge from clinical data which can be of great benefit for society, such as reduce the number of clinical trials required tor precise diagnosis of a disease of a person etc. Various areas of study are available in healthcare domain like cancer, diabetes, drugs etc. This paper focuses on heart disease dataset and how machine learning techniques can help in understanding the level of risk associated with heart diseases. Initially, data is preprocessed then analysis is done

Cite this Research Publication : V. Dominic, Dr. Deepa Gupta, and Khare, S., “An Effective Performance Analysis of Machine Learning Techniques for Cardiovascular Disease”, Applied Medical Informatics, vol. 36, p. 23, 2015.

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