2022
DOI: 10.1101/2022.11.29.22282632
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A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression

Abstract: In situations like the COVID-19 pandemic, healthcare systems are under enormous pressure as they can rapidly collapse under the burden of the crisis. Machine learning (ML) based risk models could lift the burden by identifying patients with high risk of severe disease progression. Electronic Health Records (EHRs) provide crucial sources of information to develop these models because they rely on routinely collected healthcare data. However, EHR data is challenging for training ML models because it contains irr… Show more

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Cited by 2 publications
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“…age, sex, education) or molecular data modalities commonly available in biobanks (e.g. genomics, proteomics) 37 .…”
Section: Discussionmentioning
confidence: 99%
“…age, sex, education) or molecular data modalities commonly available in biobanks (e.g. genomics, proteomics) 37 .…”
Section: Discussionmentioning
confidence: 99%