A feature selection method utilizing path accumulation cost, redundancy minimization, and interaction maximization for the diagnosis of coronary heart disease
Background Coronary heart disease (CHD) is a major cause of mortality worldwide, with an increasing trend of affecting younger populations. The asymptomatic early stages and rapid progression of CHD make diagnosis challenging, necessitating efficient diagnostic approaches. Methods We propose a novel...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-04-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-2834.pdf |
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