Explainable artificial intelligence methods in combating pandemics: A systematic review
Despite the myriad peer-reviewed papers demonstrating novel Artificial Intelligence (AI)-
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
Hospital readmissions and post-discharge all-cause mortality in COVID-19 recovered patients; A systematic review and meta-analysis
ZS Ramzi - The American Journal of Emergency Medicine, 2022 - Elsevier
Objective The present study aimed to perform a systematic review and meta-analysis on the
prevalence of one-year hospital readmissions and post-discharge all-cause mortality in …
prevalence of one-year hospital readmissions and post-discharge all-cause mortality in …
A comparison of machine learning algorithms in predicting COVID-19 prognostics
ML algorithms are used to develop prognostic and diagnostic models and so to support
clinical decision-making. This study uses eight supervised ML algorithms to predict the need …
clinical decision-making. This study uses eight supervised ML algorithms to predict the need …
Systematic review on COVID-19 readmission and risk factors: future of machine learning in COVID-19 readmission studies
In this review, current studies on hospital readmission due to infection of COVID-19 were
discussed, compared, and further evaluated in order to understand the current trends and …
discussed, compared, and further evaluated in order to understand the current trends and …
[HTML][HTML] Predicting hospital readmission risk in patients with COVID-19: A machine learning approach
MR Afrash, H Kazemi-Arpanahi… - Informatics in medicine …, 2022 - Elsevier
Abstract Introduction The Coronavirus 2019 (COVID-19) epidemic stunned the health
systems with severe scarcities in hospital resources. In this critical situation, decreasing …
systems with severe scarcities in hospital resources. In this critical situation, decreasing …
[HTML][HTML] Predicting prognosis in COVID-19 patients using machine learning and readily available clinical data
TW Campbell, MP Wilson, H Roder… - International journal of …, 2021 - Elsevier
Rationale: Prognostic tools for aiding in the treatment of hospitalized COVID-19 patients
could help improve outcome by identifying patients at higher or lower risk of severe disease …
could help improve outcome by identifying patients at higher or lower risk of severe disease …
The risk of death or unplanned readmission after discharge from a COVID-19 hospitalization in Alberta and Ontario
Background: The frequency of readmissions after COVID-19 hospitalizations is uncertain, as
is whether current readmission prediction equations are useful for discharge risk …
is whether current readmission prediction equations are useful for discharge risk …
Artificial intelligence-based model for COVID-19 prognosis incorporating chest radiographs and clinical data; a retrospective model development and validation study
SL Walston, T Matsumoto, Y Miki… - The British Journal of …, 2022 - academic.oup.com
Objectives: The purpose of this study was to develop an artificial intelligence-based model to
prognosticate COVID-19 patients at admission by combining clinical data and chest …
prognosticate COVID-19 patients at admission by combining clinical data and chest …
Prediction of COVID-19 patients' emergency room revisit using multi-source transfer learning
The coronavirus disease 2019 (COVID-19) has led to a global pandemic of significant
severity. In addition to its high level of contagiousness, COVID-19 can have a …
severity. In addition to its high level of contagiousness, COVID-19 can have a …
Development and validation of predictive models for COVID-19 outcomes in a safety-net hospital population
Objective To develop predictive models of coronavirus disease 2019 (COVID-19) outcomes,
elucidate the influence of socioeconomic factors, and assess algorithmic racial fairness …
elucidate the influence of socioeconomic factors, and assess algorithmic racial fairness …