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Heart-Health Status Using Machine Learning

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  • Ebenezer Olukunle Oyebode

    (Computer Science Department, Ajayi Crowther University, Oyo, Nigeria)

Abstract

Heart disease is one of the killer diseases in the world. Early detection of the disease is one of the ways to salvage affected people. The use of machine learning techniques can be used to offer solution to the detection of heart diseases. In this study the accuracy of prediction of some tools of machine learning has been carried out. The performance evaluation of the three models have been carried out using precision, recall, F1-score and accuracy. The results obtained showed that Logistic regession model out performed others in terms of precision, recall, F1-score and accuracy

Suggested Citation

  • Ebenezer Olukunle Oyebode, 2021. "Heart-Health Status Using Machine Learning," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 6(5), pages 108-110, May.
    • Handle: RePEc:bjf:journl:v:6:y:2021:i:5:p:108-110
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