A Hybrid Approach for Heart Disease Diagnosis and Prediction Using Machine Learning Techniques-Reference-Cited by-同舟云学术

A Hybrid Approach for Heart Disease Diagnosis and Prediction Using Machine Learning Techniques

Published:2020 Issue: Volume: Page:299-306
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Abdeldjouad Fatma Zahra,Brahami Menaouer,Matta Nada

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-51517-1_26

Reference10 articles.

1. Pouriyeh, S., Vahid, S., Sannino, G., Pietro, G. D., Arabnia, H., Gutierrez, J.: A comprehensive investigation and comparison of machine learning techniques in the domain of heart disease. In: IEEE Symposium on Computers and Communication, Heraklion, Greece, pp. 1–4 (2017)

2. Alotaibi, F.S.: Implementation of machine learning model to predict heart failure disease. Int. J. Adv. Comput. Sci. Appl. 10(6), 261–268 (2019)

3. Safdari, R., Samad-Soltani, T., GhaziSaeedi, M., Zolnoori, M.: Evaluation of classification algorithms vs knowledge-based methods for differential diagnosis of asthma in iranian patients. Int. J. Inform. Syst. Serv. Sect. 10(2), 22–26 (2018)

4. Tarawneh, M., Embarak, O.: Hybrid approach for heart disease prediction using data mining techniques. ACTA Sci. Nutrit. Health 3(7), 147–151 (2019)

5. Satyanandam, N., Satyanarayana, C.: Heart disease detection using predictive optimization techniques. Int. J. Image Graph. Signal Process. 11(9), 18–24 (2019)

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