Exploring the intersection of obesity and gender in COVID-19 outcomes in hospitalized Mexican patients: a comparative analysis of risk profiles using unsupervised machine learning.

Journal: Frontiers in public health
PMID: 38699419

Abstract

INTRODUCTION: Obesity and gender play a critical role in shaping the outcomes of COVID-19 disease. These two factors have a dynamic relationship with each other, as well as other risk factors, which hinders interpretation of how they influence severity and disease progression. This work aimed to study differences in COVID-19 disease outcomes through analysis of risk profiles stratified by gender and obesity status.

Authors

  • Fahimeh Nezhadmoghadam
    Tecnologico de Monterrey, The Institute for Obesity Research, Monterrey, Mexico.
  • Jose Gerardo Tamez-Peña
    School of Medicine and Health Sciences, Tecnológico de Monterrey, Ave. Eugenio Garza Sada 2501, 64849, Monterrey, Mexico.
  • Emmanuel Martinez-Ledesma
    Tecnologico de Monterrey, The Institute for Obesity Research, Monterrey, Mexico.

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