1. Diagnosis Of Heart Disease Using Machine Learning Algorithm.
- Author
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Kumar, Pradeep, Maurya, L. S., and Gupta, Hiresh Kumar
- Abstract
This Machine Learning techniques is involved in artificial intelligence. Today is the scenario being most problem of the heart disease in the world. So, Prediction of heart disease at the initial stage may reduce death ratio. Now a day's various healthcare organizations generate bulk amount of data but that data is unorganized. If the data are organized so there is various technique to used easily predict the heart disease. If this data is organized in a proper way using data mining technique it can be easily use for the prediction of heart diseases. Thus, the objective of this paper is to make a model for diagnosis the heart disease based on the various parameter. Using dataset of heart disease prediction for this work, which consist of 14 different types of parameters related to heart problem. Machine Learning algorithms such as supervised and unsupervised algorithm are such as Random Forest, Support Vector Machine, Naive Bayes and Decision tree, clustering but we used Logistic Regression algorithm have been used for the development of model. This model can be very helpful to the clinical diagnosis for early stage to detect the heart problem [ABSTRACT FROM AUTHOR] more...
- Published
- 2022