Endocrine and metabolic phenotypes have an increasing trend in both the age classes during the acute phase, while the trend is decreasing for genitourinary diagnosis.
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A Process Mining Pipeline to Characterize COVID-19 Patients' Trajectories and Identify Relevant Temporal Phenotypes From EHR Data.
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Results from the multivariate regression are reported in Figure 9 and show that the mined temporal phenotypes are highly significant predictors of death: compared to subjects belonging to trajectory 1, subjects assigned to the phenotypes identified by trajectory 3 (HR = 6.29, 95% CI = 4.07 - 9.7, p < 2e-16) and trajectory 4 (HR = 18.11, 95% CI = 9.12 - 36.00, p < 2e-16) have a significantly higher risk of death.