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 …
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
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 …
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
[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 …
and manage the virus, and hopefully curb it completely. One important line of research is the …
Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review
Abstract The World Health Organization (WHO) declared novel coronavirus 2019 (COVID-
19), an infectious epidemic caused by SARS-CoV-2, as Pandemic in March 2020. It has …
19), an infectious epidemic caused by SARS-CoV-2, as Pandemic in March 2020. It has …
A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
While the world has experience with many different types of infectious diseases, the current
crisis related to the spread of COVID-19 has challenged epidemiologists and public health …
crisis related to the spread of COVID-19 has challenged epidemiologists and public health …
Prognostic models in COVID-19 infection that predict severity: a systematic review
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …
remains controversial. We performed a systematic review to summarize and critically …
Machine Learning‐Based Model to Predict the Disease Severity and Outcome in COVID‐19 Patients
The novel coronavirus (COVID‐19) outbreak produced devastating effects on the global
economy and the health of entire communities. Although the COVID‐19 survival rate is high …
economy and the health of entire communities. Although the COVID‐19 survival rate is high …
Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases
A Syrowatka, M Kuznetsova, A Alsubai… - NPJ digital …, 2021 - nature.com
Artificial intelligence (AI) represents a valuable tool that could be widely used to inform
clinical and public health decision-making to effectively manage the impacts of a pandemic …
clinical and public health decision-making to effectively manage the impacts of a pandemic …
Characteristics and outcomes of hospital admissions for COVID-19 and influenza in the Toronto area
BACKGROUND: Patient characteristics, clinical care, resource use and outcomes
associated with admission to hospital for coronavirus disease 2019 (COVID-19) in Canada …
associated with admission to hospital for coronavirus disease 2019 (COVID-19) in Canada …