Fuzzy Logic and Hybrid based Approaches for the Risk of Heart Disease Detection: State-of-the-Art Review-Reference-Cited by-同舟云学术

Fuzzy Logic and Hybrid based Approaches for the Risk of Heart Disease Detection: State-of-the-Art Review

Published:2021-08-02 Issue: Volume: Page:
ISSN:2250-2106
Container-title:Journal of The Institution of Engineers (India): Series B
language:en
Short-container-title:J. Inst. Eng. India Ser. B

Author:

Kaur Jagmohan^ORCID,Khehra Baljit S.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s40031-021-00644-z.pdf

Reference53 articles.

1. WHO (2019) https://www.who.int/health-topics/cardiovascular-diseases/tab

2. CDC (2019) https://www.cdc.gov/datastatistics/index.html

3. BHF (2020) https://www.bhf.org.uk/informationsupport/heart-matters-magazine/news/behind-the-headlines/coronavirus

4. U. of Oxford, Ai technology can predict heart attacks (2020). https://www.ox.ac.uk/news/2019-09-04-AI-technology-can-predict-heart-attacks

5. N.G. Bhuvaneswari, Cardiovasular disease prediction system using genetic algorithm and neural network, in: Proceedings of International Conference on Computing, Communication and Applications (ICCCA), IEEE, pp. 1–5, (2012)

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