Heart disease classification using data mining tools and machine learning techniques-Reference-Cited by-同舟云学术

Heart disease classification using data mining tools and machine learning techniques

Published:2020-05-18 Issue:5 Volume:10 Page:1137-1144
ISSN:2190-7188
Container-title:Health and Technology
language:en
Short-container-title:Health Technol.

Author:

Tougui Ilias^ORCID,Jilbab Abdelilah,El Mhamdi Jamal

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s12553-020-00438-1.pdf

Reference19 articles.

1. WHO. Cardiovascular diseases (CVDs). 17 May 2017. https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds). Accessed 20 Dec 2019.

2. National Survey on Population and Family Health. Ministry of health of morocco. 2018. http://www.sante.gov.ma/Documents/2019/10/ENPSF-2018.pdf. Accessed Dec 2019.

3. Noncommunicable diseases country profiles World Health Organization. 2018. https://www.who.int/nmh/countries/2018/mar_en.pdf?ua=1. Accessed Dec 2019.

4. Mohtadi K, Msaad R, Essadik R, Lebrazi H, Kettani A. Current risk factors of ischemic cardiovascular diseases estimated in a representative population of Casablanca. Endocrinol Metab Syndr. 2018;7(284):2161–1017.10002.

5. Wang S, Summers RM. Machine learning and radiology. Med Image Anal. 2012;16(5):933–51.

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