AIMC Topic: Pandemics
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Learning From Past Respiratory Infections to Predict COVID-19 Outcomes: Retrospective Study.
Journal of medical Internet research
Feb 22, 2021
BACKGROUND: For the clinical care of patients with well-established diseases, randomized trials, literature, and research are supplemented with clinical judgment to understand disease prognosis and inform treatment choices. In the void created by a l...
Using Tweets to Understand How COVID-19-Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis Study.
Journal of medical Internet research
Feb 22, 2021
BACKGROUND: The emergence of SARS-CoV-2 (ie, COVID-19) has given rise to a global pandemic affecting 215 countries and over 40 million people as of October 2020. Meanwhile, we are also experiencing an infodemic induced by the overabundance of informa...
Early risk assessment for COVID-19 patients from emergency department data using machine learning.
Scientific reports
Feb 18, 2021
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 million estimated deaths worldwide. While epidemiological and clinical character...
Risk Assessment
Respiration, Artificial
Disease Progression
Hospitals
Emergency Service, Hospital
United Kingdom
London
Hospital Mortality
ROC Curve
Aged, 80 and over
Adult
Male
Machine Learning
Middle Aged
Pandemics
Humans
SARS-CoV-2
COVID-19
Risk Factors
Retrospective Studies
Hospitalization
Female
Aged
Correlation between lung infection severity and clinical laboratory indicators in patients with COVID-19: a cross-sectional study based on machine learning.
BMC infectious diseases
Feb 18, 2021
BACKGROUND: Coronavirus disease 2019 (COVID-19) has caused a global pandemic that has raised worldwide concern. This study aims to investigate the correlation between the extent of lung infection and relevant clinical laboratory testing indicators in...
From predictions to prescriptions: A data-driven response to COVID-19.
Health care management science
Feb 15, 2021
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to s...
Ultraviolet disinfection robots to improve hospital cleaning: Real promise or just a gimmick?
Antimicrobial resistance and infection control
Feb 12, 2021
The global COVID-19 pandemic due to the novel coronavirus SARS-CoV-2 has challenged the availability of traditional surface disinfectants. It has also stimulated the production of ultraviolet-disinfection robots by companies and institutions. These r...
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.
Medical image analysis
Feb 7, 2021
In recent years, deep learning-based image analysis methods have been widely applied in computer-aided detection, diagnosis and prognosis, and has shown its value during the public health crisis of the novel coronavirus disease 2019 (COVID-19) pandem...
A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics.
Computer methods and programs in biomedicine
Feb 7, 2021
BACKGROUND: Mathematical modeling of vector-borne diseases and forecasting of epidemics outbreak are global challenges and big point of concern worldwide. The outbreaks depend on different social and demographic factors based on human mobility struct...
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs.
International journal of computer assisted radiology and surgery
Feb 3, 2021
BACKGROUND: COVID-19 pandemic has currently no vaccines. Thus, the only feasible solution for prevention relies on the detection of COVID-19-positive cases through quick and accurate testing. Since artificial intelligence (AI) offers the powerful mec...
Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph.
Computers in biology and medicine
Feb 2, 2021
BACKGROUND: Chest X-ray radiography (CXR) has been widely considered as an accessible, feasible, and convenient method to evaluate suspected patients' lung involvement during the COVID-19 pandemic. However, with the escalating number of suspected cas...
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