Severity-onset prediction of COVID-19 via artificial-intelligence analysis of multivariate factors.

ABSTRACT: Progression to a severe condition remains a major risk factor for the COVID-19 mortality. Robust models that predict the onset of severe COVID-19 are urgently required to support sensitive decisions regarding patients and their treatments. In this study, we developed a multivariate survival model based on early-stage CT images and other physiological indicators and biomarkers using artificial-intelligence analysis to assess the risk of severe COVID-19 onset. We retrospectively enrolled 338 adult patients admitted to a hospital in China (severity rate, 31.9%; mortality rate, 0.9%). The physiological and pathological characteristics of the patients with severe and non-severe outcomes were compared. Age, body mass index, fever symptoms upon admission, coexisting hypertension, and diabetes wer

SUBMITTER: Fu Y 

PROVIDER: S-EPMC10415884 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature