Integrated deep learning for cardiovascular risk assessment and diagnosis: An evolutionary mating algorithm-enhanced CNN-LSTM

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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Bibliographic Details
Main Authors: Ahmed Alsarori, Ahmed Mohammed, Mohd Herwan, Sulaiman
Format: Article
Language:English
Published: Elsevier B.V. 2025
Subjects:
RC Internal medicine
RD Surgery
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/44971/
http://umpir.ump.edu.my/id/eprint/44971/1/1-s2.0-S2215016125003115-main.pdf

Internet

http://umpir.ump.edu.my/id/eprint/44971/
http://umpir.ump.edu.my/id/eprint/44971/1/1-s2.0-S2215016125003115-main.pdf

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