Prediction of Cardio Vascular Disease by Deep Learning and Machine Learning-A Combined Data Science Approach

Prediction of Cardio Vascular Disease by Deep Learning and Machine Learning-A Combined Data Science Approach

연구 분야: Artificial Intelligence

학회: 2022 International Conference on Computer, Power and Communications (ICCPC)

Machine learning is the process in which the computer system can automatically learn from the data. It's an application of Artificial Intelligence without being explicitly programmed. Making use of Machine learning and AI an efficient algorithm for prediction of Cardio Vascular Disease (CVD) can be done. By combing Deep learning method to the ML model, a high-level abstract feature with improved performance can be obtained. Heart disease or Cardio Vascular disease is the predominant disease all over the world. Accurate prediction of heart disease is a challenging task. The accuracy of prediction can be improved by applying Machine learning algorithms. Results with high accuracy can be produced by combining a Machine learning model with Statistical concepts. The main objective of this research is to predict high accurate CVD by applying Deep learning model combined with Machine learning algorithm. By recognizing the symptoms of the disease, people can get prompt treatment on time.