Add to ORKGImportance The National COVID Cohort Collaborative (N3C) is a centralized, harmonized, high-granularity electronic health record repository that is the largest, most representative COVID-19 cohort to date. This multicenter data set can support robust evidence-based development of predictive and diagnostic tools and inform clinical care and policy. Objectives To evaluate COVID-19 severity and risk factors over time and assess the use of machine learning to predict clinical severity. Design, Setting, and Participants In a retrospective cohort study of 1 926 526 US adults with SARS-CoV-2 infection (polymerase chain reaction >99% or antigen <1%) and adult patients without SARS-CoV-2 infection who served as controls from 34 medical centers ...
Abstract Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesize...
OBJECTIVES: Accurate and reliable criteria to rapidly estimate the probability of infection with the...
BackgroundCardiovascular and other circulatory system diseases have been implicated in the severity ...
Importance: The National COVID Cohort Collaborative (N3C) is a centralized, harmonized, high-granula...
ObjectiveSevere acute respiratory syndrome virus (SARS-CoV-2) has infected millions of people worldw...
Aim: To evaluate the performance of a machine learning model based on demographic variables, blood t...
BackgroundEfficient and early triage of hospitalized Covid-19 patients to detect those with higher r...
The COVID-19 pandemic has been a great challenge to healthcare systems worldwide. It highlighted the...
This study established an interpretable machine learning model to predict the severity of coronaviru...
Aim: The aim of this study was to determine the usefulness of COVID-GRAM and CURB-65 scores as predi...
Background: Since the outbreak of COVID-19 pandemic the interindividual variability in the course of...
Background Policymakers need robust data to respond to the COVID-19 pandemic. We describe demographi...
Purpose: While more advanced COVID-19 necessitates medical interventions and hospitalization, patien...
The new coronavirus, which began to be called SARS-CoV-2, is a single-stranded RNA beta coronavirus,...
SARS-CoV-2 virus causes infection which led to a global pandemic in 2020 with the development of sev...
Abstract Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesize...
OBJECTIVES: Accurate and reliable criteria to rapidly estimate the probability of infection with the...
BackgroundCardiovascular and other circulatory system diseases have been implicated in the severity ...
Importance: The National COVID Cohort Collaborative (N3C) is a centralized, harmonized, high-granula...
ObjectiveSevere acute respiratory syndrome virus (SARS-CoV-2) has infected millions of people worldw...
Aim: To evaluate the performance of a machine learning model based on demographic variables, blood t...
BackgroundEfficient and early triage of hospitalized Covid-19 patients to detect those with higher r...
The COVID-19 pandemic has been a great challenge to healthcare systems worldwide. It highlighted the...
This study established an interpretable machine learning model to predict the severity of coronaviru...
Aim: The aim of this study was to determine the usefulness of COVID-GRAM and CURB-65 scores as predi...
Background: Since the outbreak of COVID-19 pandemic the interindividual variability in the course of...
Background Policymakers need robust data to respond to the COVID-19 pandemic. We describe demographi...
Purpose: While more advanced COVID-19 necessitates medical interventions and hospitalization, patien...
The new coronavirus, which began to be called SARS-CoV-2, is a single-stranded RNA beta coronavirus,...
SARS-CoV-2 virus causes infection which led to a global pandemic in 2020 with the development of sev...
Abstract Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesize...
OBJECTIVES: Accurate and reliable criteria to rapidly estimate the probability of infection with the...
BackgroundCardiovascular and other circulatory system diseases have been implicated in the severity ...