Heart Disease Prediction Using Machine Learning Method

Mafia Rasheed; Muhammad Adnan Khan; Nouh Sabri Elmitwally; Ghassan F. Issa; Taher M. Ghazal; Hamza Alrababah; Beenu Mago

doi:10.1109/ICCR56254.2022.9995736

Heart Disease Prediction Using Machine Learning Method

Mafia Rasheed, Muhammad Adnan Khan, Nouh Sabri Elmitwally, Ghassan F. Issa, Taher M. Ghazal, Hamza Alrababah, Beenu Mago

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

7 Citations (SciVal)

Original language	English
Title of host publication	International Conference on Cyber Resilience, ICCR 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665461221
DOIs	https://doi.org/10.1109/ICCR56254.2022.9995736
Publication status	Published (VoR) - 3 Jan 2022
Event	2022 International Conference on Cyber Resilience, ICCR 2022 - Dubai, United Arab Emirates Duration: 6 Oct 2022 → 7 Oct 2022

Publication series

Name	International Conference on Cyber Resilience, ICCR 2022

Conference

Conference	2022 International Conference on Cyber Resilience, ICCR 2022
Country/Territory	United Arab Emirates
City	Dubai
Period	6/10/22 → 7/10/22

Keywords

algorithm
cardiovascular
coronary
Data mining

Access to Document

10.1109/ICCR56254.2022.9995736

Cite this

Rasheed, M., Khan, M. A., Elmitwally, N. S., Issa, G. F., Ghazal, T. M., Alrababah, H., & Mago, B. (2022). Heart Disease Prediction Using Machine Learning Method. In International Conference on Cyber Resilience, ICCR 2022 (International Conference on Cyber Resilience, ICCR 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCR56254.2022.9995736

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title = "Heart Disease Prediction Using Machine Learning Method",

keywords = "algorithm, cardiovascular, coronary, Data mining",

author = "Mafia Rasheed and Khan, {Muhammad Adnan} and Elmitwally, {Nouh Sabri} and Issa, {Ghassan F.} and Ghazal, {Taher M.} and Hamza Alrababah and Beenu Mago",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Cyber Resilience, ICCR 2022 ; Conference date: 06-10-2022 Through 07-10-2022",

year = "2022",

month = jan,

day = "3",

doi = "10.1109/ICCR56254.2022.9995736",

language = "English",

series = "International Conference on Cyber Resilience, ICCR 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Rasheed, M, Khan, MA, Elmitwally, NS, Issa, GF, Ghazal, TM, Alrababah, H & Mago, B 2022, Heart Disease Prediction Using Machine Learning Method. in International Conference on Cyber Resilience, ICCR 2022. International Conference on Cyber Resilience, ICCR 2022, Institute of Electrical and Electronics Engineers Inc., 2022 International Conference on Cyber Resilience, ICCR 2022, Dubai, United Arab Emirates, 6/10/22. https://doi.org/10.1109/ICCR56254.2022.9995736

Heart Disease Prediction Using Machine Learning Method. / Rasheed, Mafia; Khan, Muhammad Adnan; Elmitwally, Nouh Sabri et al.
International Conference on Cyber Resilience, ICCR 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (International Conference on Cyber Resilience, ICCR 2022).

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

TY - GEN

T1 - Heart Disease Prediction Using Machine Learning Method

AU - Rasheed, Mafia

AU - Khan, Muhammad Adnan

AU - Elmitwally, Nouh Sabri

AU - Issa, Ghassan F.

AU - Ghazal, Taher M.

AU - Alrababah, Hamza

AU - Mago, Beenu

PY - 2022/1/3

Y1 - 2022/1/3

KW - algorithm

KW - cardiovascular

KW - coronary

KW - Data mining

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U2 - 10.1109/ICCR56254.2022.9995736

DO - 10.1109/ICCR56254.2022.9995736

M3 - Conference contribution

AN - SCOPUS:85146496756

T3 - International Conference on Cyber Resilience, ICCR 2022

BT - International Conference on Cyber Resilience, ICCR 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 International Conference on Cyber Resilience, ICCR 2022

Y2 - 6 October 2022 through 7 October 2022

ER -

Heart Disease Prediction Using Machine Learning Method

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Keywords

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