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Software . 2020
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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ZENODO
Software . 2020
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
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Software . 2020
License: https://opensource.org/licenses/MIT
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d909b/CovEWS: v1.0.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 28 Nov 2020Publisher:Zenodo
Authors: Schwab, Patrick; Mehrjou, Arash;
Code repository: https://github.com/d909b/CovEWS/tree/v1.0.0

doi: 10.5281/zenodo.4294874 , 10.5281/zenodo.4294873

d909b/CovEWS: v1.0.0

Abstract

The COVID-19 Early Warning System (CovEWS) is a real-time early warning system for COVID-19 related mortality risk. CovEWS stratifies patients into risk percentiles using a number of personal risk factors.

Related Organizations
Keywords

Machine Learning, Prediction Model, COVID-19

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
1
Average
Average
Average
3
Related to Research communities
Corona Virus Disease