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Using Automated-Machine Learning to Predict COVID-19 Patient Survival: Identify Influential Biomarkers

2020-10-14

Abstract excerpt

<h4>Background</h4> In a pandemic, it is important for clinicians to stratify patients and decide who receives limited medical resources. In this study, we used automated machine learning (autoML) to develop and compare between multiple machine learning (ML) models that predict the chance of patient survival from COVID-19 infection and identified the best-performing model. In addition, we investigated which biomar...

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Literature Corpus work
17048a1b-1cf0-5d87-a44c-81b38c071963
DOI
10.1101/2020.10.12.20211086
Open publication

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Using Automated-Machine Learning to Predict COVID-19 Patient Survival: Identify Influential BiomarkersDOI 10.1101/2020.10.12.20211086
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