Diagnosing angiographic disease status with the aid of deep neural network
by D. Jaya Kumari
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 13, No. 6, 2021

Abstract: In this decade, one-third of all global deaths reason as cardiovascular diseases - a report from the World Health Organization (WHO). Early diagnosing conserves human lives from cardiovascular diseases, which is possible through computational techniques. This research intends to identify normal/abnormal conditions of heart diseases appropriately with the aid of the artificial intelligence (AI) technique. This research includes deep neural network (DNN) to identify heart conditions adequately. It is evident from the investigation that DNN unveils 93.4% accuracy, which is proficient performance over other employed techniques. The performance of the research evaluates through nine-measures, where the DNN shows the superiority over contest techniques in all performance measures while predicting heart disease conditions.

Online publication date: Fri, 05-Nov-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Medical Engineering and Informatics (IJMEI):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com