Subphenotyping of Mexican Patients With COVID-19 at Preadmission To Anticipate Severity Stratification: Age-Sex Unbiased Meta-Clustering Technique.
Lexin ZhouNekane Romero-GarciaJuan Martínez-MirandaJ Alberto ConejeroJuan Miguel García-GómezCarlos SáezPublished in: JMIR public health and surveillance (2022)
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.