Open AccessArtificial Neural Network for Cardiovascular Disease Prediction
Author(s) -
Abhay Patil
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.37727
Subject(s) - categorical variable , artificial neural network , coronary heart disease , disease , field (mathematics) , ideal (ethics) , artificial intelligence , coronary disease , medicine , binary classification , machine learning , computer science , intensive care medicine , support vector machine , mathematics , philosophy , epistemology , pure mathematics
The assurance of coronary ailment a large part of the time depends upon an eccentric mix of clinical and masochist data. Considering this multifaceted nature, there exists a ton of income among clinical specialists and experts with respect to the useful and careful assumption for coronary sickness. In this paper, we cultivate a coronary disease prediction system that can help clinical specialists in expecting coronary ailment status reliant upon the clinical data of patients. Man-made intelligence-gathering strategies are amazingly useful in the clinical field by giving accurate results and quick finishes of ailments. Thusly, these techniques save part of the ideal opportunity for the two trained professionals and patients. The neural associations can be used as classifiers to expect the assurance of Cardiovascular Heart disorder. Keywords: Cardio Vascular disease, Classification, Artificial neural network, Categorical model and Binary model