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The association of smoking status with SARS‐CoV‐2 infection, hospitalization and mortality from COVID‐19: a living rapid evidence review with Bayesian meta …
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 …
hospitalization,(iii) disease severity and (iv) mortality from SARS‐CoV‐2/COVID‐19 disease …
Mental and neurological disorders and risk of COVID-19 susceptibility, illness severity and mortality: a systematic review, meta-analysis and call for action
L Liu, SY Ni, W Yan, QD Lu, YM Zhao, YY Xu… - …, 2021 - thelancet.com
Abstract Background Coronavirus disease 2019 (COVID-19) has evolved into a worldwide
pandemic, and has been found to be closely associated with mental and neurological …
pandemic, and has been found to be closely associated with mental and neurological …
Federated learning for predicting clinical outcomes in patients with COVID-19
Federated learning (FL) is a method used for training artificial intelligence models with data
from multiple sources while maintaining data anonymity, thus removing many barriers to …
from multiple sources while maintaining data anonymity, thus removing many barriers to …
A family of memristive multibutterfly chaotic systems with multidirectional initial-based offset boosting
Memristors are commonly used to construct memristive chaotic systems with complex
dynamics because of their strong nonlinearity and unique memory effects. In this paper, a …
dynamics because of their strong nonlinearity and unique memory effects. In this paper, a …
Evolving phenotypes of non-hospitalized patients that indicate long COVID
Abstract Background For some SARS-CoV-2 survivors, recovery from the acute phase of the
infection has been grueling with lingering effects. Many of the symptoms characterized as …
infection has been grueling with lingering effects. Many of the symptoms characterized as …
Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
The COVID-19 pandemic has had a significant impact on both the United Arab Emirates
(UAE) and Malaysia, emphasizing the importance of develo** accurate and reliable …
(UAE) and Malaysia, emphasizing the importance of develo** accurate and reliable …
[HTML][HTML] Income inequality and COVID-19 mortality: Age-stratified analysis of 22 OECD countries
ER Sepulveda, AS Brooker - SSM-Population Health, 2021 - Elsevier
Our study builds on a growing body of research that demonstrates an association between
income inequality and COVID-19 mortality. Using Poisson multivariate regression, we age …
income inequality and COVID-19 mortality. Using Poisson multivariate regression, we age …
Data science approaches to confronting the COVID-19 pandemic: a narrative review
During the COVID-19 pandemic, more than ever, data science has become a powerful
weapon in combating an infectious disease epidemic and arguably any future infectious …
weapon in combating an infectious disease epidemic and arguably any future infectious …
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 …
Risk factors identification of COVID‐19 patients with chronic obstructive pulmonary disease: A retrospective study in Punjab‐Pakistan
Background Accessibility to the immense collection of studies on noncommunicable
diseases related to coronavirus disease of 2019 (COVID‐19) and severe acute respiratory …
diseases related to coronavirus disease of 2019 (COVID‐19) and severe acute respiratory …