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

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

doi:10.1109/CAI54212.2023.00069

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 proceeding › Conference contribution

96 Downloads (Pure)

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 language	English
Title of host publication	Proceedings of the 2023 IEEE Conference on Artificial Intelligence
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	143-144
Number of pages	2
ISBN (Electronic)	9798350339840
DOIs	https://doi.org/10.1109/CAI54212.2023.00069
Publication status	Published - 2 Aug 2023
Event	2023 IEEE Conference on Artificial Intelligence - Hyatt Regency Santa Clara 5101 Great America Parkway, Santa Clara, United States Duration: 5 Jun 2023 → 6 Jun 2023 https://cai.ieee.org/2023/

Publication series

Name	Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

Conference

Conference	2023 IEEE Conference on Artificial Intelligence
Abbreviated title	IEEE CAI
Country/Territory	United States
City	Santa Clara
Period	5/06/23 → 6/06/23
Internet address	https://cai.ieee.org/2023/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

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

Access to Document

10.1109/CAI54212.2023.00069

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Accepted author manuscript (Post-print), 289 KB

Cite this

Gogi, G., Gurung, S. K., Gegov, A., Kaymak, U., & Arabikhan, F. (2023). Artificial Intelligence based diagnosis of heart disease using ECG and deep neural networks. In Proceedings of the 2023 IEEE Conference on Artificial Intelligence (pp. 143-144). (Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAI54212.2023.00069

Gogi, Giovanah ; Gurung, Santosh Kumar ; Gegov, Alexander et al. / Artificial Intelligence based diagnosis of heart disease using ECG and deep neural networks. Proceedings of the 2023 IEEE Conference on Artificial Intelligence. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 143-144 (Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023).

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title = "Artificial Intelligence based diagnosis of heart disease using ECG and deep neural networks",

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.",

keywords = "artificial intelligence, machine Learning, deep learning, convolutional neural network, cardiovascular diseases, heart diseases, electrocardiogram, medical diagnosis",

author = "Giovanah Gogi and Gurung, \{Santosh Kumar\} and Alexander Gegov and Uzay Kaymak and Farzad Arabikhan",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Conference<br/>on Artificial Intelligence, IEEE CAI ; Conference date: 05-06-2023 Through 06-06-2023",

year = "2023",

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doi = "10.1109/CAI54212.2023.00069",

language = "English",

series = "Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023",

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booktitle = "Proceedings of the 2023 IEEE Conference on Artificial Intelligence",

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Gogi, G, Gurung, SK, Gegov, A, Kaymak, U & Arabikhan, F 2023, Artificial Intelligence based diagnosis of heart disease using ECG and deep neural networks. in Proceedings of the 2023 IEEE Conference on Artificial Intelligence. Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023, Institute of Electrical and Electronics Engineers Inc., pp. 143-144, 2023 IEEE Conference
on Artificial Intelligence, Santa Clara, California, United States, 5/06/23. https://doi.org/10.1109/CAI54212.2023.00069

Artificial Intelligence based diagnosis of heart disease using ECG and deep neural networks. / Gogi, Giovanah; Gurung, Santosh Kumar; Gegov, Alexander et al.
Proceedings of the 2023 IEEE Conference on Artificial Intelligence. Institute of Electrical and Electronics Engineers Inc., 2023. p. 143-144 (Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Artificial Intelligence based diagnosis of heart disease using ECG and deep neural networks

AU - Gogi, Giovanah

AU - Gurung, Santosh Kumar

AU - Gegov, Alexander

AU - Kaymak, Uzay

AU - Arabikhan, Farzad

PY - 2023/8/2

Y1 - 2023/8/2

N2 - 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.

AB - 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.

KW - artificial intelligence

KW - machine Learning

KW - deep learning

KW - convolutional neural network

KW - cardiovascular diseases

KW - heart diseases

KW - electrocardiogram

KW - medical diagnosis

UR - https://www.scopus.com/pages/publications/85168708701

U2 - 10.1109/CAI54212.2023.00069

DO - 10.1109/CAI54212.2023.00069

M3 - Conference contribution

AN - SCOPUS:85168708701

T3 - Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

SP - 143

EP - 144

BT - Proceedings of the 2023 IEEE Conference on Artificial Intelligence

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Conference<br/>on Artificial Intelligence

Y2 - 5 June 2023 through 6 June 2023

ER -

Gogi G, Gurung SK, Gegov A, Kaymak U, Arabikhan F. Artificial Intelligence based diagnosis of heart disease using ECG and deep neural networks. In Proceedings of the 2023 IEEE Conference on Artificial Intelligence. Institute of Electrical and Electronics Engineers Inc. 2023. p. 143-144. (Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023). doi: 10.1109/CAI54212.2023.00069

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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