Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

L Wynants, B Van Calster, GS Collins, RD Riley… - bmj, 2020 - bmj.com
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …

The association of smoking status with SARS‐CoV‐2 infection, hospitalization and mortality from COVID‐19: a living rapid evidence review with Bayesian meta …

D Simons, L Shahab, J Brown, O Perski - Addiction, 2021 - Wiley Online Library
Aims To estimate the association of smoking status with rates of (i) infection,(ii)
hospitalization,(iii) disease severity and (iv) mortality from SARS‐CoV‐2/COVID‐19 disease …

Comparing machine learning algorithms for predicting COVID-19 mortality

K Moulaei, M Shanbehzadeh… - BMC medical informatics …, 2022 - Springer
Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …

[HTML][HTML] Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review

N Alballa, I Al-Turaiki - Informatics in medicine unlocked, 2021 - Elsevier
The existence of widespread COVID-19 infections has prompted worldwide efforts to control
and manage the virus, and hopefully curb it completely. One important line of research is the …

[HTML][HTML] Development of a prognostic model for mortality in COVID-19 infection using machine learning

AL Booth, E Abels, P McCaffrey - Modern Pathology, 2021 - Elsevier
Abstract Coronavirus disease 2019 (COVID-19) is a novel disease resulting from infection
with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has quickly …

Risk factors for severity on admission and the disease progression during hospitalisation in a large cohort of patients with COVID-19 in Japan

M Terada, H Ohtsu, S Saito, K Hayakawa, S Tsuzuki… - BMJ open, 2021 - bmjopen.bmj.com
Objectives To investigate the risk factors contributing to severity on admission. Additionally,
risk factors of worst severity and fatality were studied. Moreover, factors were compared …

[HTML][HTML] Smoking and risk of negative outcomes among COVID-19 patients: a systematic review and meta-analysis

A Umnuaypornlert, S Kanchanasurakit… - Tobacco induced …, 2021 - ncbi.nlm.nih.gov
METHODS Electronic databases, including PubMed, EMBASE, Cochrane Library, Science
Direct, Google Scholar, were systematically searched from the initiation of the database until …

Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying

MM Banoei, R Dinparastisaleh, AV Zadeh, M Mirsaeidi - Critical Care, 2021 - Springer
Background The coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-
Cov2 virus has become the greatest health and controversial issue for worldwide nations. It …

The surviving sepsis campaign: research priorities for coronavirus disease 2019 in critical illness

CM Coopersmith, M Antonelli, SR Bauer… - Critical care …, 2021 - journals.lww.com
OBJECTIVES: To identify research priorities in the management, pathophysiology, and host
response of coronavirus disease 2019 in critically ill patients. DESIGN: The Surviving Sepsis …

Prognostic models in COVID-19 infection that predict severity: a systematic review

C Buttia, E Llanaj, H Raeisi-Dehkordi, L Kastrati… - European journal of …, 2023 - Springer
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …