A Multimodal Deep Learning Model Integrating CNN and Transformer for Predicting Chemotherapy-Induced Cardiotoxicity

A Multimodal Deep Learning Model Integrating CNN and Transformer for Predicting Chemotherapy-Induced Cardiotoxicity

Chemotherapy-induced cardiotoxicity presents a major risk to cancer patients, often leading to severe cardiac complications such as heart failure, myocardial infarction, and arrhythmias. Early detection is crucial for preventing long-term damage and improving patient outcomes, yet existing diagnosti...

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Bibliographic Details
Main Authors: Ahmed Bouatmane, Abdelaziz Daaif, Abdelmajid Bousselham, Bouchra Bouihi, Omar Bouattane
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Multimodal deep learning
cardiotoxicity
chemotherapy
convolutional neural networks
recurrent neural networks
transformer
Online Access:https://ieeexplore.ieee.org/document/10946882/
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