Article
Machine Learning based COVID-19 Diagnosis from Blood Tests with Robustness to Domain Shifts
2021-04-09
Abstract excerpt
We investigate machine learning models that identify COVID-19 positive patients and estimate the mortality risk based on routinely acquired blood tests in a hospital setting. However, during pandemics or new outbreaks, disease and testing characteristics change, thus we face domain shifts. Domain shifts can be caused, e.g., by changes in the disease prevalence (spreading or tested population), by refined RT-PCR te...
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Identifiers and source
- Literature Corpus work
- 47d6d2c7-c433-5d16-9f7c-e98302b72db0
- DOI
- 10.1101/2021.04.06.21254997
