Hybrid feature selection technique for prediction of cardiovascular diseases-Reference-Cited by-同舟云学术

Hybrid feature selection technique for prediction of cardiovascular diseases

Published:2021-04 Issue: Volume: Page:
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

V Pavithra,V Jayalakshmi

Publisher

Elsevier BV

Subject

General Medicine

Reference15 articles.

1. Machine learning techniques for heart disease datasets: a survey;Khan,2019

2. Pavithra, V., & Jayalakshmi, V. (2019, December). A Review on Predicting Cardiovascular Diseases Using Data Mining Techniques. InInternational conference on Computer Networks, Big data and IoT(pp. 374-380). Springer, Cham.

3. Pavithra, V., & Jayalakshmi, V. (2020, June). Review of Feature Selection Techniques for Predicting Diseases. In2020 5th International Conference on Communication and Electronics Systems (ICCES)(pp. 1213-1217). IEEE.

4. An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis;Li;Comput. Math. Methods Med.,2017

5. Ramotra, A. K., & Mansotra, V. A Hybrid Cluster and PCA-Based Framework for Heart Disease Prediction Using Logistic Regression. InRising Threats in Expert Applications and Solutions(pp. 111-117). Springer, Singapore.

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