Title: Diagnosing angiographic disease status with the aid of deep neural network

Authors: D. Jaya Kumari

Addresses: Computer Science and Engineering Department, Sri Vasavi Engineering College (Autonomous), Pedatadepalli, India

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.

Keywords: artificial intelligence; AI; deep neural network; DNN; angiographic disease; prediction/classification/diagnosing.

DOI: 10.1504/IJMEI.2021.118761

International Journal of Medical Engineering and Informatics, 2021 Vol.13 No.6, pp.474 - 486

Received: 10 Oct 2019
Accepted: 14 Dec 2019
Published online: 05 Nov 2021 *

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