DOI:10.20894/IJDMTA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:4.893 & GIF:0.787
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded
Abstract: Cardiovascular diseases are one of the leading causes of death in the present generation. Global mortality rates are heavily influenced by heart disease, which is a serious threat to mankind. Due to the accurate and effective prediction of disease, the interest of researchers in machine learning and deep learning is big. In recent years, DL has become an increasingly popular technology. Deep learning is beginning to be widely used in health care and disease prediction. In recent research artificial neural network (ANN) algorithms are beginning to be used to predict disease. Early detection of the disease plays an important role in reducing or preventing the risk of death such as heart disease. In this research article, the proposed model evaluates and predicts cardiovascular Disease (CVD) through an artificial neural network algorithm (ANN) of deep learning. The Kaggle dataset has been used for CVD prediction through the ANN algorithm of Deep learning and we achieved 96.75% accuracy.
