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Predictive determinants of overall survival among re-infected COVID-19 patients using the elastic-net regularized Cox proportional hazards model: a machine-learning algorithm

2021-04-15

Abstract excerpt

<h4>Background: </h4> Narrowing a large set of features to a smaller one can improve our understanding of the main risk factors for in-hospital mortality in patients with COVID-19. This study aimed to derive a parsimonious model for predicting overall survival (OS) among re-infected COVID-19 patients using machine-learning (ML) algorithms. <h4>Methods: </h4>: The retrospective data of 283 re-infected COVID-19 pati...

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Literature Corpus work
79aad5e0-61f9-5451-a607-aee47f33dc43
DOI
10.21203/rs.3.rs-371941/v1
Open publication

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Predictive determinants of overall survival among re-infected COVID-19 patients using the elastic-net regularized Cox proportional hazards model: a machine-learning algorithmDOI 10.21203/rs.3.rs-371941/v1
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