Background Throughout 2020, the coronavirus disease 2019 (COVID‐19) has become a
threat to public health on national and global level. There has been an immediate need for …

Purpose To develop a simple score for the outcomes from COVID-19 that integrates
information obtained at the time of admission including the Ct value (cycle threshold) for …

Introduction A prompt severity assessment model of patients with confirmed infectious
diseases could enable efficient diagnosis while alleviating burden on the medical system …

We sought to assess the impact of sex on in-hospital mortality of patients with COVID-19
infection in South Korea. The study recruited 5,628 prospective consecutive patients who …

We developed a tool to guide decision-making for early triage of COVID-19 patients based
on a predicted prognosis, using a Korean national cohort of 5,596 patients, and validated …

Background: Most outcome-predictive models for COVID-19 patients use hospital admission
data, offering a spontaneous mortality risk estimation. We aimed to elaborate on a tool that …

Abstract Coronavirus Disease-2019 (COVID-19) caused by Severe Acute Respiratory
Syndrome-Cororonavirus-2 (SARS-CoV-2) is a cause of morbidity among pediatric patients …

Aim: The idea of this study is to analyze and improve the death ratio accuracy of covid
patients with Novel Multiple Logistic Regression (MLR) and Lasso regression. Both these …

Objetivo: Establecer la relación entre las comorbilidades identificadas como factores de
riesgo asociadas a COVID-19 grave, en una muestra de pacientes del Hospital General de …

Aim: Objective of is based on analysis of death ratio for covid patients with Novel Multiple
Logistic Regression (MLR) and logistic regression which falls under supervised learning …