Discriminant models for the prediction of postponed viral shedding time and disease progression in COVID-19.

ABSTRACT:

Background

COVID-19 infection can cause life-threatening respiratory disease. This study aimed to fully characterize the clinical features associated with postponed viral shedding time and disease progression, then develop and validate two prognostic discriminant models.

Methods

This study included 125 hospitalized patients with COVID-19, for whom 44 parameters were recorded, including age, gender, underlying comorbidities, epidemiological features, laboratory indexes, imaging characteristics and therapeutic regimen, et al. Fisher's exact test and Mann-Whitney test were used for feature selection. All models were developed with fourfold cross-validation, and the final performances of each model were compared by the Area Under Receiving Operating Curve (AUROC). After optimizi

SUBMITTER: Li WY 

PROVIDER: S-EPMC8996205 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature