DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION

DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION

Cardio Vascular Diseases (CVDs) are one of the most prevalent causes of death in the world and require an appropriate early detection method that could satisfactorily integrate diversified patient data available in today's healthcare. Traditional diagnosis is often based on single-modality d...

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Bibliographic Details
Main Authors: Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty
Format: Article
Language:English
Published: Institute of Mechanics of Continua and Mathematical Sciences 2025-06-01
Series:Journal of Mechanics of Continua and Mathematical Sciences
Subjects:
cardiovascular disease
correlation analysis
deep canonical genetic algorithm
explainable ai
multimodal data fusion
scenarios
Online Access:https://jmcms.s3.amazonaws.com/wp-content/uploads/2025/06/15172523/jmcms-2506011-Design-of-an-Improved-Model-for-Cardiovascular-Prakash.pdf
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