2024
DOI: 10.1101/2024.05.18.24307568
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Ensemble Meta-Learning using SVM for Improving Cardiovascular Disease Risk Prediction

Narinder Singh Punn,
Deepak Kumar Dewangan

Abstract: Cardiovascular diseases (CVDs) remain a leading cause of mortality worldwide, posing a significant public health challenge. Early identification of individuals at high risk of CVD is crucial for timely intervention and prevention strategies. Machine learning techniques are increasingly being applied in healthcare for their ability to uncover complex patterns within large, multidimensional datasets. This study introduces a novel ensemble meta-learning framework designed to enhance cardiovascular disease (CVD) r… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 32 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?