Five models are created for exploration and prediction on the COVID-19 mRNA vaccine dataset provided by Stanford University and made accessible on the Kaggle community platform employing the two deep learning algorithms, Long Short-Term Memory (LSTM) as well as Gated Recurrent...
2.2. Dataset The dataset named “All COVID-19 Vaccines Tweets” from Kaggle [17] was chosen in this research where the data of almost all the renowned vaccines, such as Pfizer/BioNTech, Oxford/AstraZeneca, Moderna, Covaxin, Sputnik V, Sinopharm, and Sinovac, are available. Here, the datase...
Furthermore, this identical pre-trained CatBoost model produced an accuracy of 81% when applied to the private dataset. You will find the source code in the link: https://github.com/OpenUAE-LAB/Covid-19-detection-using-Wearable-data.git....
Fig. 1. Cloud-based data pipeline orchestration platform components for COVID-19 evidence-based analytics. Both structured and unstructured data from multiple sources [i.e., Synthetic Public Use Files (SynPUF) (Borton et al., 2010) health-care data, Kaggle COVID-19 Open Research Dataset (COR...
The COVID-19 pandemic revealed several challenges, whether AI is helpful in social control, searching for care and vaccine, COVID-19 diagnoses and prognoses, tracking and forecasting the spreading of the virus? As this paper surveys the novel COVID-19 pandemic covering various research areas and...
The first dataset consisted of 351 chest X-ray and CT images, which were positive or suspected of COVID-19. The second dataset from Kaggle contained 112,120 X-ray images (287 samples of chest X-ray images of viral and bacterial pneumonia were selected). The data were divided into two ...
Data Science for COVID-19 (DS4C) (2020); https://kaggle.com/kimjihoo/coronavirusdataset (accessed 13 March 2020). Li, Q. et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N. Engl. J. Med. 382, 1199–1207 (2020). Article CAS Google Scholar...
CORD-19 Related tools AWS Resources and programs supporting COVID-19 research: Google Cloud COVID-19 public dataset program 2019 COVID-19 Data Set in Korean 한국어 Dataset Image datasets Open Datasets Models COVID-19 + Imaging AI Resources ...
Then we have applied a transfer learning model using the proposed 5 different layers and trained the proposed model on the COVID-19 dataset which is shown in Fig. 4. Table 1. Various parameters applied by ‘nCOVnet’ model for detection of COVID-19. LayerStrideFilterPool sizePaddingDepthNo...
stretching out the outbreak over a longer time period will ensure, that a larger proportion of those in need of hospital treatment will actually get it. Other advantages of this approach are to win time in order to find better treatment forms and, possibly, to eventually develop a vaccine”....