We propose a cluster-weighted model to analyze the mortality and the latent heterogeneity of COVID-19 patients. We focus on administrative data col- lected during in the earliest phases of the COVID-19 pandemic. Results highlight that a model-based clustering approach is helpful to detect unobserved clusters of COVID-19 patients.
A cluster-weighted model for COVID- 19 hospital admissions
Salvatore IngrassiaMethodology
;Giorgio VittadiniMethodology
2024-01-01
Abstract
We propose a cluster-weighted model to analyze the mortality and the latent heterogeneity of COVID-19 patients. We focus on administrative data col- lected during in the earliest phases of the COVID-19 pandemic. Results highlight that a model-based clustering approach is helpful to detect unobserved clusters of COVID-19 patients.File in questo prodotto:
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