The dataset can be found on Semantic Scholar and Kaggle.The cord19q project builds an index over the CORD-19 dataset to assist with analysis and data discovery. A series of COVID-19 related research topics were explored to identify relevant articles and help find answers to key scientific ...
S.R. cleaned and finalised the dataset for analysis, did the descriptive analyses, interpreted the results, and drafted the first manuscript; he also built the questionnaires for reinfected individuals, set up and ran the data collection systems, and linked participant records. M.M.R. and Mo...
3.1. Data Set Description and Data Preparation In this study, real-time observations are incorporated for up-to-date analysis and for the prediction of COVID-19 results. There are 2 types of datasets used in this study: (1) The global dataset from January 2020 to August 2021, which is ...
One part of the dataset(sufficient for training and testing deep neural networks) is also shared at:https://www.kaggle.com/mohammadrahimzadeh/covidctset-a-large-covid19-ct-scans-dataset The codes for data analysis and training or validating the networks based on this dataset are shared athtt...
The COVID-19 datasets GSE152418 and GSE171110 from the GEO database were used for analysis. We used the RStudio software to process the data using the edgeR R package. The criteria for screening DEGs were as follows: FDR < 0.05 and |logFC|≥ 1.0. In the GSE152418 dataset, a ...
data through a GitHub repository to provide scientific community and general public with real-time up-to-date information on reported COVID-19 cases [28]. Institute for Health Metrics and Evaluation at the University of Washington created another dashboard with dataset enabling calculation of key ...
4.1. Dataset In our work, we particularly construct a large-scale chest CT dataset with two significant contributions. 1) Our dataset provides the annotations of both 3D volume-level and 2D slice-level CT samples for COVID-19 diagnosis research and development. 2) We specially select four clas...
We integrate the chest X-ray images from three public datasets: COVID-19 Chest X-ray Dataset Initiative, ActualMed COVID-19 Chest X-ray Dataset Initiative, and COVID-19 radiography database for evaluation. Experimental results demonstrate that the proposed method improves the performance of CO...
Prediction of COVID-19 corona virus pandemic based on time series data using Support Vector Machine. J. Discr. Math. Sci. Cryptogr. 23, 1583–1597 (2020). Google Scholar Aslam, M. Using the kalman filter with Arima for the COVID-19 pandemic dataset of Pakistan. Data Brief 31, 105854...
An augmented multilingual Twitter dataset for studying the COVID-19 infodemic. Soc. Netw. Anal. Min. 2021, 11, 1–14. [Google Scholar] [CrossRef] Luo, Y.; Xu, X. Comparative study of deep learning models for analyzing online restaurant reviews in the era of the COVID-19 pandemic. ...