Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review
Background and purpose The objective of our systematic review is to identify prognostic
factors that may be used in decision-making related to the care of patients infected with …
factors that may be used in decision-making related to the care of patients infected with …
[HTML][HTML] Adoption of digital technologies in health care during the COVID-19 pandemic: systematic review of early scientific literature
Background The COVID-19 pandemic is favoring digital transitions in many industries and in
society as a whole. Health care organizations have responded to the first phase of the …
society as a whole. Health care organizations have responded to the first phase of the …
Machine learning based early warning system enables accurate mortality risk prediction for COVID-19
Y Gao, GY Cai, W Fang, HY Li, SY Wang… - Nature …, 2020 - nature.com
Soaring cases of coronavirus disease (COVID-19) are pummeling the global health system.
Overwhelmed health facilities have endeavored to mitigate the pandemic, but mortality of …
Overwhelmed health facilities have endeavored to mitigate the pandemic, but mortality of …
Effectiveness of COVID-19 diagnosis and management tools: A review
W Alsharif, A Qurashi - Radiography, 2021 - Elsevier
Objective To review the available literature concerning the effectiveness of the COVID-19
diagnostic tools. Background With the absence of specific treatment/vaccines for the …
diagnostic tools. Background With the absence of specific treatment/vaccines for the …
Predictors of COVID-19 severity: a systematic review and meta-analysis
M Mudatsir, JK Fajar, L Wulandari… - …, 2021 - pmc.ncbi.nlm.nih.gov
Background: The unpredictability of the progression of coronavirus disease 2019 (COVID-
19) may be attributed to the low precision of the tools used to predict the prognosis of this …
19) may be attributed to the low precision of the tools used to predict the prognosis of this …
Integrating digital technologies and public health to fight Covid-19 pandemic: key technologies, applications, challenges and outlook of digital healthcare
Integration of digital technologies and public health (or digital healthcare) helps us to fight
the Coronavirus Disease 2019 (COVID-19) pandemic, which is the biggest public health …
the Coronavirus Disease 2019 (COVID-19) pandemic, which is the biggest public health …
A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images
Abstract Corona virus disease (COVID-19) acknowledged as a pandemic by the WHO and
mankind all over the world is vulnerable to this virus. Alternative tools are needed that can …
mankind all over the world is vulnerable to this virus. Alternative tools are needed that can …
COVID-19 in older people: a rapid clinical review
FE Lithander, S Neumann, E Tenison, K Lloyd… - Age and …, 2020 - academic.oup.com
Introduction the COVID-19 pandemic poses a high risk to older people. The aim of this
article is to provide a rapid overview of the COVID-19 literature, with a specific focus on older …
article is to provide a rapid overview of the COVID-19 literature, with a specific focus on older …
Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
An overview of deep learning methods for multimodal medical data mining
Deep learning methods have achieved significant results in various fields. Due to the
success of these methods, many researchers have used deep learning algorithms in …
success of these methods, many researchers have used deep learning algorithms in …