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

IntroductionObesity 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...

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Main Authors: Fahimeh Nezhadmoghadam (Author), José Gerardo Tamez-Peña (Author), Emmanuel Martinez-Ledesma (Author)
Format: Book
Published: Frontiers Media S.A., 2024-04-01T00:00:00Z.
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3rd Floor Main Library

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