Jul 6, 2021 · This study proposed a novel framework for COVID-19 severity prediction, which is a combination of data-centric and model-centric approaches.

This study proposed a novel framework for COVID-19 severity prediction, which is a combination of data-centric and model-centric approaches.

Jul 7, 2021 · 2) We proposed two hybrid convolution-attention neural architectures that leverage the self-attention from state- of-the-art Transformer and ...

Jul 6, 2021 · This study proposed a novel framework for COVID-19 severity prediction, which is a combination of data-centric and model-centric approaches.

This study proposed a novel framework for COVID-19 severity prediction, which is a combination of data-centric and model-centric approaches.

This study proposed a novel framework for COVID-19 severity prediction, which is a combination of data-centric and model-centric approaches. severity prediction.

Aug 17, 2023 · Development and validation of a hybrid deep learning–machine learning approach for severity assessment of COVID-19 and other pneumonias

This study proposed a novel framework for COVID-19 severity prediction, which is a combination of data-centric and model-centric approaches.

Three pre-trained models, namely GoogleNet, ResNet18, and AlexNet, are used in this work among which GoogleNet achieved a highest prediction accuracy of 80.6 % ...

This study proposed a novel framework for COVID-19 severity prediction, which is a combination of data-centric and model-centric approaches.