Implementation of Logistic Regression in Healthcare

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Implementation of Logistic Regression in Healthcare

Author: Ms.Rupali.A.Zamare 1, Dr.Pankaj M.Agarkar 2, Dr.Santosh Kumar Yadav 3 1 PhD Scholar, JJT University,Rajasthan 2 Co-Guide, D.Y.PatilSchool of Engg,Lohagaon,Pune 3 Guide, JJT University,Rajasthan

Published On: 2020-12-16

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Abstract

Machine learning is helpful in health industry for detection and prevention of chronic diseases, thus making cure fast and easy for diagnosis .Health Industry is affected due to major death ratio due to heart diseases, which will be avoided as well as overcome by Machine learning. Machine learning having supervised and unsupervised learning techniques for classification. The support Vector machine, Random Forest, Logistic regression, Nearest Neural Network and Artificial Neural network are giving the results in the form of accuracy, recall and precision. Logistic Regression working on the logit function in mathematics use to predict the target variable and it is a supervised learning technique.

Key Words Support Vector Machine, Random Forest, Logistic Regression and Neural Network

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