Use of artificial intelligence to assess genetic predisposition to develop critical COVID-19 disease: a comparative study of machine learning models

Use of artificial intelligence to assess genetic predisposition to develop critical COVID-19 disease: a comparative study of machine learning models

Early prediction of critical COVID-19 disease is crucial for an optimal clinical management. The objective of this study was to optimize predictive models for critical COVID-19 disease. Clinical data, laboratory data and genetic polymorphisms were integrated into AI models to compare the performance...

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Main Authors: Martín Pérez Salomón, Sanchez Jimenez Flora, Fuentes Cantero Sandra, Jímenez Barragan Marta, Sanchez Mora Catalina, Borreguero Leon Juan M., Teresa Arrobas Velilla, Valido Morales Agustín, Delgado Torralbo Juan A., León Justel Antonio
Format: Article
Language:English
Published: De Gruyter 2025-05-01
Series:Advances in Laboratory Medicine
Subjects:
machine learning
covid-19
critical disease
artificial intelligence
genetic polymorphisms (snps)
logistic regression
Online Access:https://doi.org/10.1515/almed-2025-0073
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https://doi.org/10.1515/almed-2025-0073

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