Article

Evaluating biomedical feature fusion on machine learning’s predictability and interpretability of COVID-19 severity types

2024-04-05

Abstract excerpt

<h4>Background</h4> Accurately differentiating severe from non-severe COVID-19 clinical types is critical for the healthcare system to optimize workflow. Current techniques lack the ability to accurately predict COVID-19 patients’ clinical type, especially as SARS-CoV-2 continues to mutate. We explore predictability and interpretability of multiple state-of-the-art machine learning (ML) techniques trained and test...

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Literature Corpus work: a7c9732d-ed0d-5a12-8634-96c0aa4119d0
DOI: 10.1101/2024.04.04.24305295

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