Bibliographic Details
| Title: |
Machine Learning Algorithms To Detect Heart Disease. |
| Authors: |
Rajesh, P.1 rajesh.palanirajan@gmail.com, Kumar, P. Senthil2 senthilmcasrit@gmail.com |
| Source: |
Educational Administration: Theory & Practice. 2024, Vol. 30 Issue 11, p2420-2424. 5p. |
| Abstract: |
The growth of the computer science field is very impressive in the current world. The number of diseases that afflict man has increased exponentially, more than his life, due to his current activities. Due to the current practices of human life and activities without sufficient labor, the number of diseases that affect him is increasing, and his life expectancy is also decreasing. The aim of this study is to use the current developments in the field of computer science to try to solve the symptoms of diseases that occur in human life and the methods that help to solve them. Heart-related diseases are the most common cause of death in the world today. To easily detect and resolve these effects, we can use mission learning algorithms in current scientific discoveries to monitor these diseases and try to correct them at an early stage. By using machine learning algorithms, it is possible to easily detect symptoms of the disease and obtain accurate results. [ABSTRACT FROM AUTHOR] |
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| Database: |
Education Research Complete |
