A REVIEW ON MACHINE LEARNING TECHNIQUES IN CORONARY ARTERY DISEASE: CHALLENGES AND FUTURE DIRECTION

Abi Izang Igyem; Fatima Umar Zambuk; Badamasi Imam Yau; Kehinde Emmanuel

A REVIEW ON MACHINE LEARNING TECHNIQUES IN CORONARY ARTERY DISEASE: CHALLENGES AND FUTURE DIRECTION

November 2023

Vol-9, Issue-6

Paper ID: 22050

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science

Keywords

Coronary artery disease Machine learning and Heart disease

Abstract

According to recent studies, coronary artery disease is said to be one of the leading origins of death worldwide. Early identification of CAD can assist in reducing death rates. Accurate prediction of CAD is necessary and considered to be a difficult attempt to treat a patient effectively before a heart attack occurs. When it comes to prediction using traditional methodologies, the difficulty arises in the intricacy of the data and relationships. This research presents a review of different machine learning algorithms that have been for detecting CAD, the review also presents the challenges of using such predicting methods and hence outlines a better learning algorithm for an efficient detection of CAD as its future direction

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Author Information

#	Name	Institute / Affiliation
1	Abi Izang Igyem	Department of Mathematical Science Abubakar Tafawa Balewa University Bauchi
2	Fatima Umar Zambuk	Department of Mathematical Science Abubakar Tafawa Balewa University Bauchi
3	Badamasi Imam Yau	Department of Mathematical Science Abubakar Tafawa Balewa University Bauchi
4	Kehinde Emmanuel	Department of Mathematical Science Abubakar Tafawa Balewa University Bauchi

How to Cite

Use the following formats to cite this article in your research.

APA Style

Igyem, Abi Izang, Zambuk, Fatima Umar, Yau, Badamasi Imam, & Emmanuel, Kehinde (2023). A REVIEW ON MACHINE LEARNING TECHNIQUES IN CORONARY ARTERY DISEASE: CHALLENGES AND FUTURE DIRECTION. International Journal of Advance Research and Innovative Ideas In Education, 9(6), 1115-1125.

MLA Style

Igyem, Abi Izang, et al. "A REVIEW ON MACHINE LEARNING TECHNIQUES IN CORONARY ARTERY DISEASE: CHALLENGES AND FUTURE DIRECTION." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 6, 2023, pp. 1115-1125.

IEEE Style

Abi Izang Igyem, Fatima Umar Zambuk, Badamasi Imam Yau, and Kehinde Emmanuel, "A REVIEW ON MACHINE LEARNING TECHNIQUES IN CORONARY ARTERY DISEASE: CHALLENGES AND FUTURE DIRECTION," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 6, pp. 1115-1125, 2023.

Vancouver Style

Igyem Abi Izang, Zambuk Fatima Umar, Yau Badamasi Imam, Emmanuel Kehinde. A REVIEW ON MACHINE LEARNING TECHNIQUES IN CORONARY ARTERY DISEASE: CHALLENGES AND FUTURE DIRECTION. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(6):1115-1125.

Harvard Style

Igyem, Abi Izang, Zambuk, Fatima Umar, Yau, Badamasi Imam, & Emmanuel, Kehinde (2023) 'A REVIEW ON MACHINE LEARNING TECHNIQUES IN CORONARY ARTERY DISEASE: CHALLENGES AND FUTURE DIRECTION', International Journal of Advance Research and Innovative Ideas In Education, 9(6), pp. 1115-1125.

Chicago Style

Igyem, Abi Izang, et al. "A REVIEW ON MACHINE LEARNING TECHNIQUES IN CORONARY ARTERY DISEASE: CHALLENGES AND FUTURE DIRECTION." International Journal of Advance Research and Innovative Ideas In Education 9, no. 6 (2023): 1115-1125.

Turabian Style

Igyem, Abi Izang, et al. "A REVIEW ON MACHINE LEARNING TECHNIQUES IN CORONARY ARTERY DISEASE: CHALLENGES AND FUTURE DIRECTION." International Journal of Advance Research and Innovative Ideas In Education 9, no. 6 (2023): 1115-1125.