Artificial Intelligence based diagnosis of heart disease using ECG and deep neural networks

Giovanah Gogi, Santosh Kumar Gurung, Alexander Gegov, Uzay Kaymak, Farzad Arabikhan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Health is the most important part of life. Unfortunately, people get sick from diseases from time to time which can further lead to deaths. The most common cause of death these days is cardiovascular diseases (CVDs). CVD is a term used for all types of diseases that affect the heart, the blood vessels, and circulatory diseases. This paper focuses on a supervised machine learning technique namely Deep Learning (DL) in diagnosing heart disease efficiently and effectively.

Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE Conference on Artificial Intelligence
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages143-144
Number of pages2
ISBN (Electronic)9798350339840
DOIs
Publication statusPublished - 2 Aug 2023
Event2023 IEEE Conference
on Artificial Intelligence
- Hyatt Regency Santa Clara 5101 Great America Parkway, Santa Clara, United States
Duration: 5 Jun 20236 Jun 2023
https://cai.ieee.org/2023/

Publication series

NameProceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

Conference

Conference2023 IEEE Conference
on Artificial Intelligence
Abbreviated titleIEEE CAI
Country/TerritoryUnited States
CitySanta Clara
Period5/06/236/06/23
Internet address

Keywords

  • artificial intelligence
  • machine Learning
  • deep learning
  • convolutional neural network
  • cardiovascular diseases
  • heart diseases
  • electrocardiogram
  • medical diagnosis

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