A machine learning analysis of correlates of mortality among patients hospitalized with COVID-19

TB Baker, WY Loh, TM Piasecki, DM Bolt, SS Smith… - Scientific Reports, 2023 - nature.com
It is vital to determine how patient characteristics that precede COVID-19 illness relate to
COVID-19 mortality. This is a retrospective cohort study of patients hospitalized with COVID …

Machine learning approaches to identify patient comorbidities and symptoms that increased risk of mortality in COVID-19

S Aktar, A Talukder, MM Ahamad, AHM Kamal… - Diagnostics, 2021 - mdpi.com
Providing appropriate care for people suffering from COVID-19, the disease caused by the
pandemic SARS-CoV-2 virus, is a significant global challenge. Many individuals who …

[HTML][HTML] Clinical predictors of COVID-19 mortality

AS Yadaw, Y Li, S Bose, R Iyengar, S Bunyavanich… - MedRxiv, 2020 - ncbi.nlm.nih.gov
Background: The coronavirus disease 2019 (COVID-19) pandemic has affected over
millions of individuals and caused hundreds of thousands of deaths worldwide. It can be …

COVID-19 mortality risk assessment: An international multi-center study

D Bertsimas, G Lukin, L Mingardi, O Nohadani… - PloS one, 2020 - journals.plos.org
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 …

Prognostic model to identify and quantify risk factors for mortality among hospitalised patients with COVID-19 in the USA

D Incerti, S Rizzo, X Li, L Lindsay, V Yau, D Keebler… - BMJ open, 2021 - bmjopen.bmj.com
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 …

Machine learning-based derivation and external validation of a tool to predict death and development of organ failure in hospitalized patients with COVID-19

Y Xu, A Trivedi, N Becker, M Blazes, JL Ferres… - Scientific Reports, 2022 - nature.com
COVID-19 mortality risk stratification tools could improve care, inform accurate and rapid
triage decisions, and guide family discussions regarding goals of care. A minority of COVID …

[HTML][HTML] Characteristics and risk factors for hospitalization and mortality among persons with COVID-19 in Atlanta metropolitan area

N Chishinga, NR Gandhi, UN Onwubiko, C Telford… - MedRxiv, 2020 - ncbi.nlm.nih.gov
Background: We present data on risk factors for severe outcomes among patients with
coronavirus disease 2019 (COVID-19) in the southeast United States (US). Objective: To …

Rapid prediction of in-hospital mortality among adults with COVID-19 disease

KM Kim, DS Evans, J Jacobson, X Jiang, W Browner… - PLoS …, 2022 - journals.plos.org
Background We developed a simple tool to estimate the probability of dying from acute
COVID-19 illness only with readily available assessments at initial admission. Methods This …

Development and validation of a prognostic 40-day mortality risk model among hospitalized patients with COVID-19

DA Berry, A Ip, BE Lewis, SM Berry, NS Berry… - Plos one, 2021 - journals.plos.org
Objectives The development of a prognostic mortality risk model for hospitalized COVID-19
patients may facilitate patient treatment planning, comparisons of therapeutic strategies, and …

Clinical characterization and prediction of clinical severity of SARS-CoV-2 infection among US adults using data from the US National COVID Cohort Collaborative

TD Bennett, RA Moffitt, JG Hajagos, B Amor… - JAMA network …, 2021 - jamanetwork.com
Importance The National COVID Cohort Collaborative (N3C) is a centralized, harmonized,
high-granularity electronic health record repository that is the largest, most representative …