An Effective Deep Learning Model to Discriminate Coronavirus Disease From Typical Pneumonia

Abstract

Current technological advances are paving the way for technologies based on deep learning to be utilized in the majority of life fields. The effectiveness of these technologies has led them to be utilized in the medical field to classify and detect different diseases. Recently, the pandemic of coronavirus disease (COVID-19) has imposed considerable press on the health infrastructures all over the world. The reliable and early diagnosis of COVID-19-infected patients is crucial to limit and prevent its outbreak. COVID-19 diagnosis is feasible by utilizing reverse transcript-polymerase chain reaction testing; however, diagnosis utilizing chest x-ray radiography is deemed safe, reliable, and precise in various cases.

Harnessing the power of AI: Advanced deep learning models optimization for accurate SARS-CoV-2 forecasting

“…[ 16 – 21 ] used LSTM, GRU, and CNN-based models for predicting cases in Malaysia and various other countries. The authors employed daily confirmed cases as input features and evaluated the models’ performance using MAE and RMSE.…”

Novel Hybrid Genetic Arithmetic Optimization for Feature Selection and Classification of Pulmonary Disease Images

“…Along with the extensive usage of Machine Learning and Deep Learning approaches, the various feature selection methods have been utilized in statistics and pattern recognition for several years. (Waleed et al, 2022;Wen et al, 2022;Aboamer et al, 2014b;Acharyulu et al, 2021;Ahmadian et al, 2021;Ajeil et al, 2020b;Hamida et al, 2022a;Azar, 2020a,b). When there was an excessive amount of data that needed to be processed quickly, feature selection techniques were necessary (Azar et al, 2023d).…”