- Version
- Download 36
- File Size 512.70 KB
- File Count 1
- Create Date 30/05/2023
- Last Updated 30/05/2023
DEEP LEARNING FOR CARDIAC DISEASE DETECTION
DEEP LEARNING FOR CARDIAC DISEASE DETECTION
Dr. Rama Abirami K1, Siddharth J2, Shubhansh Singh3 , Vijay Y Jadav4 Rushikesh Patil5
Faculty, Student[2][3][4][5]
Department of Information Science and Engineering.
DSATM, India
Abstract : This study aims to provide clinicians with a powerful tool for detecting cardiac problems at an early stage, using deep learning and machine learning techniques. By doing so, appropriate medication can be administered to patients with minimum negative impact. Heart disease has become a significant health concern in recent years due to unhealthy lifestyle choices and the accumulation of fat in the heart. Deep learning algorithms can analyze various features of a dataset to predict the likelihood of heart disease. The primary objective of this system is to enhance the accuracy of diagnosing heart disease through deep learning, where the dependent variable indicates whether a person has cardiovascular disease or not.
Key Words- Deep Learning, Cardiac disease detection, predictive model, medical field, CNN.
