Early Prediction of Cardiac Disease using Expert Systems
Ajaay Krishna P1, Akhilesh R2, Aravind C J3, Rama Abirami K4
1Ajaay Krishna P, Student, Department of Computer Science, Krishna College of Engineering and Technology, Kuniyamuthur (Tamil Nadu), India.
2Akhilesh R*, Student, Department of Computer Science, Krishna College of Engineering and Technology, Kuniyamuthur (Tamil Nadu), India.
3Aravind C J, Student, Department of Computer Science, Krishna College of Engineering and Technology, Kuniyamuthur (Tamil Nadu), India.
4Dr. K Rama Abirami, Ph.D, Associate Professor, Department of Computer Science, Krishna College of Engineering and Technology, Kuniyamuthur (Tamil Nadu), India.
Manuscript received on 28 April 2022. | Revised Manuscript received on 04 May 2022. | Manuscript published on 30 May 2022. | PP: 140-145 | Volume-11 Issue-1, May 2022. | Retrieval Number: 100.1/ijrte.A69810511122 | DOI: 10.35940/ijrte.A6981.0511122
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Machine learning is effective in helping and making selections from the high volumes of data created by the healthcare business. In this work, completely different classification algorithms are applied with their own advantage on separate databases of malady accessible for disease prediction. The results of the study strengthen by using Artificial Intelligence in the early detection of diseases and this will increase the survival rate of patients considerably. The motivation of this paper is to develop efficacious treatment of data processing techniques that will facilitate remedial things. Data processing classification algorithms are used to diagnose heart diseases.
Keywords: Machine Learning, Artificial Intelligence, Prediction model, Classification Technique, Deep Learning.
Scope of the Article: Machine Learning