Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction
The early detection and accurate diagnosis of cardiovascular diseases is vital to reduce global morbidity and death rates. In this work, the quantum-inspired seagull optimization algorithm (QISOA) combined with a deep belief network (DBN) is proposed to improve the identification of cardiovascular d...
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| Main Authors: | D. Banumathy, T. Vetriselvi, K. Venkatachalam, Jaehyuk Cho |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2024-12-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-2498.pdf |
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