Feature selection and risk prediction for patients with coronary artery disease using data mining-Reference-Cited by-同舟云学术

Feature selection and risk prediction for patients with coronary artery disease using data mining

Published:2020-11-06 Issue:12 Volume:58 Page:3123-3140
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Md Idris Nashreen,Chiam Yin Kia^ORCID,Varathan Kasturi Dewi,Wan Ahmad Wan Azman,Chee Kok Han,Liew Yih Miin

Funder

Kementerian Pendidikan Malaysia

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11517-020-02268-9.pdf

Reference37 articles.

1. WHO (2018) The top 10 causes of death. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death. Accessed 20 June 2018

2. Department of Statistics Malaysia (2018) Statistics on causes of death, Malaysia, 2018. Available via DOSM. https://www.dosm.gov.my/v1/index.php. Accessed 30 Jan 2019

3. Sweis RN, Jivan A (2018) Overview of coronary artery disease (CAD). MSD Manual Professional Version, Available: https://www.msdmanuals.com/professional/cardiovascular-disorders/coronary-artery-disease/overview-of-coronary-artery-disease. Accessed 20 Feb 2019

4. Hajar R (2017) Risk factors for coronary artery disease: historical perspectives. Heart Views 18(3):109–114

5. Rashid NA, Nawi AM, Khadijah S (2019) Exploratory analysis of traditional risk factors of ischemic heart disease (IHD) among predominantly Malay Malaysian women. BMC Public Health 19(4):545

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