IJARP SJIF(2018): 4.908

International Journal of Advanced Research and Publications!

Predicting Heart Diseases In Logistic Regression Of Machine Learning Algorithms By Python Jupyterlab

Volume 3 - Issue 8, August 2019 Edition
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A. S. Thanuja Nishadi
machine learning, logistic regression, classification algorithms, heart diseases
Healthcare expenditures are overwhelming national and corporate budgets due to asymptomatic diseases including cardiovascular diseases. Therefore, there is an urgent need for early detection and treatment of such diseases. Machine learning is one of the trending technologies which used in many spheres around the world including healthcare industry for predicting diseases. The aim of this study is to identify the most significant predicators of heart diseases and predicting the overall risks by using logistic regression. Thus, binary logistic model which is one of the classification algorithms in machine learning is used in this study to identify thepredicators. Further, data analysis is carried out in Python using JupyterLab in order to validate the logistic regression.
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