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.
Papers
Artificial intelligence and renegotiation of commercial lease contracts affected by pandemic-related contingencies from Covid-19. The project A.I.A.Co
Maurizio Parton, Marco Angelone, Carlo Metta, Stefania D'Ovidio, Roberta Massarelli, Luca Moscardelli, Gianluca Amato
ST-former for short-term passenger flow prediction during COVID-19 in urban rail transit system
Shuxin Zhang, Jinlei Zhang, Lixing Yang, Chengcheng Wang, Ziyou Gao
CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis
Wojciech Prazuch, Aleksandra Suwalska, Marek Socha, Joanna Tobiasz, Pawel Foszner, Jerzy Jaroszewicz, Katarzyna Gruszczynska, Magdalena Sliwinska, Jerzy Walecki, Tadeusz Popiela, Grzegorz Przybylski, Andrzej Cieszanowski, Mateusz Nowak, Malgorzata Pawlowska, Robert Flisiak, Krzysztof Simon, Gabriela Zapolska, Barbara Gizycka, Edyta Szurowska, POLCOVID Study Group, Michal Marczyk, Joanna Polanska
Not Good Times for Lies: Misinformation Detection on the Russia-Ukraine War, COVID-19, and Refugees
Cagri Toraman, Oguzhan Ozcelik, Furkan Şahinuç, Fazli Can
Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification
Jiashu Xu, Sergii Stirenko
5q032e@SMM4H'22: Transformer-based classification of premise in tweets related to COVID-19
Vadim Porvatov, Natalia Semenova
Developing a multi-variate prediction model for the detection of COVID-19 from Crowd-sourced Respiratory Voice Data
Wafaa Aljbawi, Sami O. Simmons, Visara Urovi
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application
Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry Korzun