Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques-Reference-Cited by-同舟云学术

Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques

Published:2022-06-18 Issue:9 Volume:39 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Theerthagiri Prasannavenkatesan¹^ORCID,Vidya Jyothiprakash¹

Affiliation:

1. Department of Computer Science and Engineering GITAM School of Technology, GITAM University Bengaluru India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13064

Reference37 articles.

1. Elimination and Backward Selection of Features (P-Value Technique) In Prediction of Heart Disease by Using Machine Learning Algorithms

2. A study on performance improvement of heart disease prediction by attribute selection methods;Akyol K.;Academic Platform Journal of Engineering and Science,2019

3. High-performance in classification of heart disease using advanced supercomputing technique with cluster-based enhanced deep genetic algorithm

4. Cardiovascular Disease Dataset. (2021).Retrieved from Kaggle Repositoryhttps://www.kaggle.com/sulianova/cardiovascular-disease-dataset.

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