A Review on Heart Disease Predication using M...

A Review on Heart Disease Predication using Machine Learning and Deep Learning Models

Author Name : Akula. V. S. Siva Rama Rao, A. Ravi, P. Ganesh Sai, P. Hemanth, M. Somendra, P. Siva Kumar

ABSTRACT One of the main causes of death in the modern world is heart disease. When it comes to forecasting cardiovascular disease, clinical data analysis encounters a huge challenge. It has been proved using machine learning (ML) that it is feasible to make forecasts and judgments from the large amount of data created by the healthcare sector. To aid in early identification and diagnosis, researchers have developed Techniques for forecasting heart disease with Deep learning/machine learning. This Survey paper analyses the various classical learning models& deep learning models and compared. The comparison illustrate accuracies of various disease prediction models implemented by different authors across the globe. This survey inferred that Deep Learning models have produced better accuracy results than machine learning methods in identifying coronary heart disease risk. This survey has the potential to help high-risk individuals seek medical attention early