Yung Jae Yoo

TL;DR: Several demographic and comorbidity variables and many initial vital sign and laboratory test values were associated with higher peak illness severity and could assist with early identification of children at risk for severe disease due to SARS-CoV-2 infection.

TL;DR: In this article , a nonlinear similarity function is defined to map from a feature space of phenotypic abnormalities to a matrix of pairwise patient similarity that can be clustered using unsupervised machine learning.

TL;DR: This article developed a definition of postacute sequelae of SARS-CoV-2 infection (PASC) using self-reported symptoms and described PASC frequencies across cohorts, vaccination status, and number of infections.

TL;DR: The harmonization and inference methods developed herein can serve as a resource for initiatives aiming to extract insight from heterogeneous EHR collections as unique properties of centralized data are harnessed to enable unit inference.

TL;DR: In a large, multicenter cohort of patients in the U.S. with T2D and COVID-19 infection, risk of hospitalization increased with incrementally higher HbA1c levels, but risk of death and invasive ventilation also increased but plateaued at different levels of glycemic control.