Subphenotyping of Mexican Patients With COVID-19 at Preadmission To Anticipate Severity Stratification: Age-Sex Unbiased Meta-Clustering Technique
JMIR Public Health and Surveillance2022Vol. 8(3), pp. e30032–e30032
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Lexin Zhou, Nekane Romero-García, Juan Martı́nez-Miranda, J. Alberto Conejero, Juan M. García‐Gómez, Carlos Sáez
Abstract
The proposed 2-stage cluster analysis methodology produced a discriminative characterization of the sample and explainability over age and sex. These results can potentially help in understanding the clinical patient and their stratification for automated early triage before further tests and laboratory results are available and even in locations where additional tests are not available or to help decide resource allocation among vulnerable subgroups such as to prioritize vaccination or treatments.
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