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 …
[HTML][HTML] A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
COVID-19 is a respiratory disease caused by the SARS-CoV-2 contagion, severely
disrupted the healthcare infrastructure. Various countries have developed COVID-19 …
disrupted the healthcare infrastructure. Various countries have developed COVID-19 …
Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics
Objective To develop a two-step machine learning (ML) based model to diagnose and
predict involvement of lungs in COVID-19 and non COVID-19 pneumonia patients using CT …
predict involvement of lungs in COVID-19 and non COVID-19 pneumonia patients using CT …
Machine learning approach for automated predicting of COVID-19 severity based on clinical and paraclinical characteristics: Serum levels of zinc, calcium, and vitamin …
A Jahangirimehr, EA Shahvali, SM Rezaeijo… - Clinical Nutrition …, 2022 - Elsevier
Background & aims Considering that no standard therapy has yet been found for the novel
coronavirus disease (COVID-19), identifying severe cases as early as possible, and such …
coronavirus disease (COVID-19), identifying severe cases as early as possible, and such …
A comprehensive review of machine learning used to combat COVID-19
Coronavirus disease (COVID-19) has had a significant impact on global health since the
start of the pandemic in 2019. As of June 2022, over 539 million cases have been confirmed …
start of the pandemic in 2019. As of June 2022, over 539 million cases have been confirmed …
Potential use of serum proteomics for monitoring COVID-19 progression to complement RT-PCR detection
Y Zhang, X Cai, W Ge, D Wang, G Zhu… - Journal of proteome …, 2021 - ACS Publications
RT-PCR is the primary method to diagnose COVID-19 and is also used to monitor the
disease course. This approach, however, suffers from false negatives due to RNA instability …
disease course. This approach, however, suffers from false negatives due to RNA instability …
Machine learning approaches in Covid-19 severity risk prediction in Morocco
The purpose of this study is to develop and test machine learning-based models for COVID-
19 severity prediction. COVID-19 test samples from 337 COVID-19 positive patients at …
19 severity prediction. COVID-19 test samples from 337 COVID-19 positive patients at …
Multidimensional analysis of immune cells from COVID-19 patients identified cell subsets associated with the severity at hospital admission
S Gil-Manso, D Herrero-Quevedo, D Carbonell… - PLoS …, 2023 - journals.plos.org
Background SARS-CoV-2 emerged as a new coronavirus causing COVID-19, and it has
been responsible for more than 760 million cases and 6.8 million deaths worldwide until …
been responsible for more than 760 million cases and 6.8 million deaths worldwide until …
Everything is varied: The surprising impact of instantial variation on ML reliability
Instantial variation (IV) refers to variation that is due not to population differences or errors,
but rather to within-subject variation, that is the intrinsic and characteristic patterns of …
but rather to within-subject variation, that is the intrinsic and characteristic patterns of …
Establishment of epidemic early warning index system and optimization of infectious disease model: Analysis on monitoring data of public health emergencies
L Xiong, P Hu, H Wang - International Journal of Disaster Risk Reduction, 2021 - Elsevier
The ability to mitigate the damages caused by emergencies is an important symbol of the
modernization of an emergency capability. When responding to emergencies, government …
modernization of an emergency capability. When responding to emergencies, government …