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

February 16, 2023

Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality
Li Shi, Redoan Rahman, Esther Melamed, Jacek Gwizdka, Justin F. Rousseau, Ying Ding
Explainable AI Covid 19 XAI Method eXplainable Artificial Intelligence Shapley Additive Explanation Mortality Prediction XAI Model

February 15, 2023

COVID-VTS: Fact Extraction and Verification on Short Video Platforms
Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava
Covid 19 Verification Task Multimodal Information Short Video Fact Extraction Token Level Attack

February 9, 2023

Modeling and Forecasting COVID-19 Cases using Latent Subpopulations
Roberto Vega, Zehra Shah, Pouria Ramazi, Russell Greiner
Covid 19 Epidemiological Model Heterogeneous Population

February 6, 2023

COVID-19 Infection Analysis Framework using Novel Boosted CNNs and Radiological Images
Saddam Hussain Khan
Covid 19 COVID 19 Detection Channel Convolutional Neural Network Radiology Image

February 5, 2023

CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification
Zhaoshan Liu, Lei Shen
Transformer Based Covid 19 Classification Network Ensemble CNN

February 3, 2023

February 2, 2023

Deep COVID-19 Forecasting for Multiple States with Data Augmentation
Chung Yan Fong, Dit-Yan Yeung
Data Augmentation Covid 19 Deep Learning Approach Novel Data Augmentation Year Specific Mortality Surface

January 26, 2023

A Benchmark Study by using various Machine Learning Models for Predicting Covid-19 trends
D. Kamelesun, R. Saranya, P. Kathiravan
Machine Learning Human Prediction Covid 19 Support Vector Machine Benchmark Study Supervised Machine Learning

January 25, 2023

Prediction of COVID-19 by Its Variants using Multivariate Data-driven Deep Learning Models
Akhmad Dimitri Baihaqi, Novanto Yudistira, Edy Santoso
Human Prediction Covid 19 Covid 19 Pandemic Global Pandemic COVID 19 Case Natural Language Oriented Variant Data Driven Deep Learning

January 23, 2023

Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19
Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour Ghazi
Deep Learning Covid 19 Cerebral Microbleeds

January 20, 2023

STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
Covid 19 Human Mobility Spatio Temporal Graph GAN Based Human Mobility Prediction Cross City Temporal Gan

January 17, 2023

Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT
Pallabi Dutta, Sushmita Mitra
Covid 19 Lung CT Boundary Delineation Feature Weighting

January 6, 2023

January 4, 2023

COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images
Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
Covid 19 Medical Image Analysis Ultrasound Image High Frequency Display Coronavirus Disease 2019 Lung Ultrasound Point of Care Prototypical Neural Network

December 28, 2022

Evaluating Generalizability of Deep Learning Models Using Indian-COVID-19 CT Dataset
Suba S, Nita Parekh, Ramesh Loganathan, Vikram Pudi, Chinnababu Sunkavalli
Deep Learning Model Covid 19 Chest CT COVID 19 Data Evaluating Generalizability

December 27, 2022

Data-driven control of COVID-19 in buildings: a reinforcement-learning approach
Ashkan Haji Hosseinloo, Saleh Nabi, Anette Hosoi, Munther A. Dahleh
Data Driven Covid 19 Optimal Policy Residential Building Mechanical Ventilation Airflow Embedded Gas Injection

December 25, 2022

An efficient hybrid classification approach for COVID-19 based on Harris Hawks Optimization and Salp Swarm Optimization
Abubakr Issa, Yossra Ali, Tarik Rashid
Covid 19 Feature Selection Hybrid Machine Learning Salp Swarm Harris Hawk Optimization

Covid 19

Papers

Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality

COVID-VTS: Fact Extraction and Verification on Short Video Platforms

Modeling and Forecasting COVID-19 Cases using Latent Subpopulations

COVID-19 Infection Analysis Framework using Novel Boosted CNNs and Radiological Images

CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification

Using natural language processing and structured medical data to phenotype patients hospitalized due to COVID-19

Causal Confirmation Measures: From Simpson's Paradox to COVID-19

Deep COVID-19 Forecasting for Multiple States with Data Augmentation

A Benchmark Study by using various Machine Learning Models for Predicting Covid-19 trends

Prediction of COVID-19 by Its Variants using Multivariate Data-driven Deep Learning Models

Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19

STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19

Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT

Designing an Improved Deep Learning-based Model for COVID-19 Recognition in Chest X-ray Images: A Knowledge Distillation Approach

Deep Learning For Classification Of Chest X-Ray Images (Covid 19)

Fitness Dependent Optimizer with Neural Networks for COVID-19 patients

COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images

Evaluating Generalizability of Deep Learning Models Using Indian-COVID-19 CT Dataset

Data-driven control of COVID-19 in buildings: a reinforcement-learning approach

An efficient hybrid classification approach for COVID-19 based on Harris Hawks Optimization and Salp Swarm Optimization