Covid 19
COVID-19 research continues to explore the pandemic's multifaceted impact, focusing on accurate prediction of disease severity and mortality, effective diagnosis and treatment strategies, and understanding the spread of misinformation. Current research leverages machine learning, particularly deep learning models like convolutional neural networks and large language models, to analyze diverse data sources including chest X-rays, blood test parameters, and social media posts. These efforts aim to improve clinical decision-making, enhance public health interventions, and ultimately mitigate the long-term consequences of the pandemic.
381papers
Papers - Page 4
February 12, 2024
January 26, 2024
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification
Oleksandr Fedoruk, Konrad Klimaszewski, Aleksander Ogonowski, Michał KrukInterpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections
Md Khairul Islam, Tyler Valentine, Timothy Joowon Sue, Ayush Karmacharya, Luke Neil Benham, Zhengguang Wang, Kingsley Kim, Judy Fox
January 23, 2024
Open-source data pipeline for street-view images: a case study on community mobility during COVID-19 pandemic
Matthew Martell, Nick Terry, Ribhu Sengupta, Chris Salazar, Nicole A. Errett, Scott B. Miles, Joseph Wartman, Youngjun ChoeSecure Federated Learning Approaches to Diagnosing COVID-19
Rittika Adhikari, Christopher Settles
January 20, 2024
January 15, 2024
December 17, 2023