DCNeT: A disease comorbidity network-based temporal deep learning framework to predict cardiovascular risk in patients with mental disorders-Reference-Cited by-同舟云学术

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DCNeT: A disease comorbidity network-based temporal deep learning framework to predict cardiovascular risk in patients with mental disorders

Published:2024-11 Issue: Volume:254 Page:124312
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Qiu Hang^ORCID,Yang Ping,Wang Liya

Publisher

Elsevier BV

Reference46 articles.

1. Diagnosis of cardiovascular disease using deep learning technique;Ahmad;Soft Computing,2022

2. ECG-AI: Electrocardiographic artificial intelligence model for prediction of heart failure;Akbilgic;European Heart Journal - Digital Health,2021

3. Ashita, C. T., & Kala, T. S. (2022). Prediction of Heart Diseases using Deep Learning: A Review. 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), 1131–1134. https://doi.org/10.1109/ICCMC53470.2022.9753747.

4. A systematic review on machine learning approaches for cardiovascular disease prediction using medical big data;Azmi;Medical Engineering & Physics,2022

5. Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach;Barbieri;International Journal of Epidemiology,2022

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