COVID-19
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Please cite the following paper when using this dataset:
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737 Views
To download the dataset without purchasing an IEEE Dataport subscription, please visit: https://zenodo.org/records/13738598
Please cite the following paper when using this dataset:
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1014 Views
Persistent viruses like influenza, HIV, Coronavirus exemplify the challenge of viral escape, significantly hindering the development of long-lasting vaccines and effective treatments. This study leverages a Long Short-Term Memory (LSTM) based deep learning architecture to analyze an extensive dataset of over 3.1 million unique viral spike protein sequences, with SARS-CoV-2 serving as the primary example. Our model, Escape Elite Network(EEN) outperforms existing methods in detecting escape mutations across diverse datasets.
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134 Views
This dataset named "Chest X-ray images for Multiple diseases" is a medium sized dataset we collected and produced in 2024 from various sources to predict various Chest-X-ray diseases using Deep learning techniques, primarily from Radiopaedia.org, coronacases.org, Kaggle contains 1000 images for each of the disease namely TB,pneumonia,Covid-19,Normal. This dataset is designed to support the evaluation and development of algorithms to predict various chest x-ray diseases.
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1004 Views
To access this dataset without purchasing an IEEE Dataport subscription, please visit: https://zenodo.org/doi/10.5281/zenodo.11711229
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843 Views
This research utilized data from the Oxford University Our World in Data Covid 19 Dataset. This dataset contains data points collected on an ongoing basis from Johns Hopkins University, Center for Systems Science and Engineering COVID-19 data, European Centre for Disease Control, and OXFORD COVID-19 Government Response Tracker, from January 2020 to the present.
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304 Views
This dataset contains measured data from five sensor modules designed for monitoring the oxygen concentration in the air in a hospital environment, especially in rooms where oxygen therapy can potentially occurs. This data is crucial from a safety point of view, as a higher oxygen concentration can increase the risk of fire development.
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543 Views
Data on 2355 COVID-19 cases by date of July to December 2021 were extracted from a data set recorded by COVID-19 referral centers at Qazvin province in Iran. We recorded a wide range of clinical characteristics including age, sex, previous diseases, and hospitalization time. Moreover, we collected data about the different consumed medications including Atrovastatin 20 mg, Atrovastatin 40 mg, Ivermectin 3 mg, Ivermectin 40 mg, Dexamethasone, Kaletra, Favipiravir, Famotidine 40 mg, Interferon, Remdesivir, Hydroxychloroquine.
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398 Views
Please cite the following paper when using this dataset:
N. Thakur, K. A. Patel, I. Hall, Y. N. Duggal, and S. Cui, “A Dataset of Search Interests related to Disease X originating from different Geographic Regions”, Preprints 2023, 2023081701, DOI: https://doi.org/10.20944/preprints202308.1701.v1
Abstract:
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702 Views
The complete COVID-19 dataset is a collection of the COVID-19 data maintained by Our World in Data that is updated throughout the duration of COVID-19. It includes information related to confirmed cases and deaths, hospitalization, intensive care unit admissions, testing for COVID-19, and vaccination for COVID-19.
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1008 Views