Heart Disease Prediction Using Machine Learning Method

Rasheed, Mafia and Khan, Muhammad Adnan and Elmitwally, Nouh and Issa, Ghassan F. and Ghazal, Taher M. and Alrababah, Hamza and Mago, Beenu (2023) Heart Disease Prediction Using Machine Learning Method. In: 2022 International Conference on Cyber Resilience (ICCR), 6th - 7th October 2022, Dubai, United Arab Emirates.

Preview

Text Heart_Disease_Prediction_Using_Machine_Learning_Method.pdf - Accepted Version Download (482kB)

Abstract

The heart disease is also known as coronary artery disease, many hearts affecting symptoms that are very common nowadays and causes death. It is a challenging task to diagnose heart diseases without any intelligent diagnosing system. Many researchers did research on it and developed a diagnostic system to diagnose heart diseases and worked on it. The prediction of cardiovascular disease, required a brief medical history of patients, including genetic information. The world is in acute need of a system for predicting heart disease and it became crucial. Data mining and machine learning are common techniques used in the field of health care to process large and complex data. This research paper presents reasons for heart disease and a model based on Machine learning algorithms for prediction.

Item Type:	Conference or Workshop Item (Paper)
Identification Number:	https://doi.org/10.1109/ICCR56254.2022.9995736
Dates:	Date Event 6 October 2022 Accepted 3 January 2023 Published Online
Uncontrolled Keywords:	coronary, Data mining, cardiovascular, algorithm
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions:	Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User:	Nouh Elmitwally
Date Deposited:	13 Jul 2023 09:46
Last Modified:	13 Jul 2023 10:30
URI:	https://www.open-access.bcu.ac.uk/id/eprint/14128

Actions (login required)

View Item