A dynamic model for individualized prognosis prediction in patients with avian influenza A H7N9.

ABSTRACT:

Background

Avian influenza A H7N9 progresses rapidly and has a high case fatality rate. However, few models are available to predict the survival of individual patients with H7N9 infection in real-time. This study set out to construct a dynamic model for individual prognosis prediction based on multiple longitudinal measurements taken during hospitalization.

Methods

The clinical and laboratory characteristics of 96 patients with H7N9 who were admitted to hospitals in Jiangsu between January 2016 and May 2017 were retrospectively investigated. A random forest model was applied to longitudinal data to select the biomarkers associated with prognostic outcome. Finally, a multivariate joint model was used to describe the time-varying effects of the biomarkers and calculate indivi

SUBMITTER: Zhang M 

PROVIDER: S-EPMC8904989 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature