Integrated deep learning for cardiovascular risk assessment and diagnosis: An evolutionary mating algorithm-enhanced CNN-LSTM
Cardiovascular diseases (CVD) remain the leading cause of mortality worldwide, emphasizing the urgent need for accurate and efficient predictive models. This study proposes a dual-output deep learning model based on a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) model, optim...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier B.V.
2025
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/44971/1/1-s2.0-S2215016125003115-main.pdf http://umpir.ump.edu.my/id/eprint/44971/ https://doi.org/10.1016/j.mex.2025.103466 |
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