Cardiovascular Disease Classification Using Different Algorithms-Reference-Cited by-同舟云学术

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Cardiovascular Disease Classification Using Different Algorithms

Published:2020-09-25 Issue: Volume: Page:189-201
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Rahul ,Monika ,Ray Pranav,Kharke Roshan Bapurao,Chauhan Saurav Singh

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-7345-3_16

Reference16 articles.

1. Vaideeswar P, Tyagi S, Singaravel S (2019) Pathology of atherosclerotic coronary artery disease in the young Indian population. Forensic Sci Res 4(3):241–246. https://doi.org/10.1080/20961790.2019.1592315

2. Priyanka N, Ravikumar P (2017) Usage of data mining techniques in predicting the heart diseases—Naïve Bayes & decision tree. In: Proceedings of IEEE international conference on circuit, power and computing technologies ICCPCT 2017. https://doi.org/10.1109/iccpct.2017.8074215

3. Aditi Gavhane KD, Kokkula G, Pandya I (2017) Prediction of heart disease using supervised learning algorithms. Int J Comput Appl 165(5):41–44. https://doi.org/10.5120/ijca2017913868

4. Alaa AM, Bolton T, Di Angelantonio E, Rudd JHF, van der Schaar M (2019) Cardiovascular disease risk prediction using automated machine learning: a prospective study of 423,604 UK Biobank participants. PLoS ONE 14(5):1–17. https://doi.org/10.1371/journal.pone.0213653

5. Rahul, Bansal H, Monika (2020) Classification techniques used in sentiment analysis & prediction of heart disease using data mining techniques: review, pp 1–6. https://doi.org/10.1109/icict46931.2019.8977707

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