Objectives To develop a prognostic model to identify and quantify risk factors for mortality
among patients admitted to the hospital with COVID-19. Design Retrospective cohort study …

Objectives Existing UK prognostic models for patients admitted to the hospital with COVID-
19 are limited by reliance on comorbidities, which are under-recorded in secondary care …

Background Accurate risk prediction of clinical outcome would usefully inform clinical
decisions and intervention targeting in COVID-19. The aim of this study was to derive and …

Objective Our objective is to compare the predictive accuracy of four recently established
outcome models of patients hospitalized with coronavirus disease 2019 (COVID-19) …

Objective To externally validate various prognostic models and scoring rules for predicting
short term mortality in patients admitted to hospital for covid-19. Design Two stage individual …

Background COVID-19 pandemic has developed rapidly and the ability to stratify the most
vulnerable patients is vital. However, routinely used severity scoring systems are often low …

Objective To create and validate a simple and transferable machine learning model from
electronic health record data to accurately predict clinical deterioration in patients with covid …

Background Many models are published which predict outcomes in hospitalized COVID-19
patients. The generalizability of many is unknown. We evaluated the performance of …

In this paper, we aim at understanding the broad spectrum of factors influencing the survival
of infected patients and the correlations between these factors to create a predictive …

Objectives The development of a prognostic mortality risk model for hospitalized COVID-19
patients may facilitate patient treatment planning, comparisons of therapeutic strategies, and …