Dynamic feature selection and quantum representation for precise heart disease prediction: Quantum-HeartDiseaseNet approach

Computer Methods in Biomechanics & Biomedical Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22

Published: Feb. 5, 2025

Cardiovascular disease is a leading cause of mortality, necessitating early and precise prediction for improved patient outcomes. This study proposes Quantum-HeartDiseaseNet, novel heart risk framework that integrates Dynamic Opposite Pufferfish Optimization Algorithm feature selection Quantum Attention-based Bidirectional Gated Recurrent Unit (QABiGRU) accurate diagnosis. The method enhances diagnosis accuracy while reducing dimensionality, Synthetic Minority Oversampling Technique (SMOTE) addresses data imbalance. Evaluated on three datasets, the proposed model achieved 98.87% accuracy, 98.74% precision, 98.56% recall, outperforming conventional methods. Experimental results validate its effectiveness in prediction.

Language: Английский

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Archimedes Optimization Algorithm for DNA Motif Discovery

Algorithms for intelligent systems, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21

Published: Jan. 1, 2025

Language: Английский

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Diagnostic Strategies Using AI and ML in Cardiovascular Diseases: Challenges and Future Perspectives

Algorithms for intelligent systems, Journal Year: 2025, Volume and Issue: unknown, P. 135 - 165

Published: Jan. 1, 2025

Language: Английский

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Exploring Recent Developments in Radiographic Chest Disease Detection Through Deep Learning Models

Algorithms for intelligent systems, Journal Year: 2025, Volume and Issue: unknown, P. 181 - 197

Published: Jan. 1, 2025

Language: Английский

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HAFNIA (IV) Nanowires Memristor Arrays Manufacturing Supports Artificial Vision Engineering

Algorithms for intelligent systems, Journal Year: 2025, Volume and Issue: unknown, P. 23 - 45

Published: Jan. 1, 2025

Language: Английский

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