Article

COVID-19 Mortality Risk Assessment: An International Multi-Center Study

2020-07-08

Abstract excerpt

<h4>Background</h4> Timely identification of COVID-19 patients at high risk of mortality can significantly improve patient management and resource allocation within hospitals. This study seeks to develop and validate a data-driven personalized mortality risk calculator for hospitalized COVID-19 patients. <h4>Methods</h4> De-identified data was obtained for 3,927 COVID-19 positive patients from six independent cent...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6d32af16-ed9d-5fef-87c9-8da424b30de7
DOI: 10.1101/2020.07.07.20148304

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

COVID-19 Mortality Risk Assessment: An International Multi-Center StudyDOI 10.1101/2020.07.07.20148304Read

COVID-19 Mortality Risk Assessment: An International Multi-Center StudySemantic proximity Read

Risk factors for mortality among hospitalized patients with COVID-19Semantic proximity Read

Development of a Real-Time Risk Model (RTRM) for Predicting In-Hospital COVID-19 MortalitySemantic proximity Read

Seek COVER: Development and validation of a personalized risk calculator for COVID-19 outcomes in an international networkSemantic proximity Read

Consistency of performance of adverse outcome prediction models for hospitalized COVID-19 patientsSemantic proximity Read

Multicenter analysis of COVID-19 hospitalizations and stacking machine learning algorithms for prediction of high-risk patientsSemantic proximity Read

Development and validation of predictive models for mortality of cases with COVID-19 (Omicron BA.5.2.48 and B.7.14): A retrospective studySemantic proximity Read

SARS2 simplified scores to estimate risk of hospitalization and death among patients with COVID-19Semantic proximity Read

Rapid assessment of COVID-19 mortality risk with GASS classifiersSemantic proximity Read

A Prognostic Tool for COVID-19 Decision Support: The Intermountain Risk Score Predicts Major Adverse Health Events in Patients Positive for COVID-19Semantic proximity Read

Comparing Machine Learning Algorithms for Predicting ICU Admission and Mortality in COVID-19Semantic proximity Read

The National COVID Cohort Collaborative: Clinical Characterization and Early Severity PredictionSemantic proximity Read