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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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Literature Corpus work
47d6d2c7-c433-5d16-9f7c-e98302b72db0
DOI
10.1101/2021.04.06.21254997
Open publication

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Machine Learning based COVID-19 Diagnosis from Blood Tests with Robustness to Domain ShiftsDOI 10.1101/2021.04.06.21254997
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