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

• Published in: Journal of mechanics of continua and mathematical sciences Vol. 20; no. 6; pp. 126 - 141
• Main Authors: Sahoo, Prakash Chandra, Pattanayak, Binod Kumar, Mohanty, Rajani Kanta, Mohanty, Ayasa Kanta
• Format: Journal Article
• Language: English
• Published: Institute of Mechanics of Continua and Mathematical Sciences 01.06.2025
• Subjects: cardiovascular disease; correlation analysis; deep canonical genetic algorithm; explainable ai; multimodal data fusion; scenarios

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 data...