AIMC Topic: Betacoronavirus
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Latent COVID-19 Clusters in Patients with Chronic Respiratory Conditions.
Studies in health technology and informatics
Nov 23, 2020
The goal of this paper was to apply unsupervised machine learning techniques towards the discovery of latent COVID-19 clusters in patients with chronic lower respiratory diseases (CLRD). Patients who underwent testing for SARS-CoV-2 were identified f...
Deep learning applications to combat the dissemination of COVID-19 disease: a review.
European review for medical and pharmacological sciences
Nov 1, 2020
Recent Coronavirus (COVID-19) is one of the respiratory diseases, and it is known as fast infectious ability. This dissemination can be decelerated by diagnosing and quarantining patients with COVID-19 at early stages, thereby saving numerous lives. ...
Deus Ex Machina? Predicting SARS-CoV-2 Infection from Lab Tests Using Machine Learning.
Clinical chemistry
Nov 1, 2020
Electronic Health Records
SARS-CoV-2
Reverse Transcriptase Polymerase Chain Reaction
Coronavirus Infections
Pandemics
COVID-19
Humans
Algorithms
Machine Learning
Blood Cell Count
COVID-19 Testing
Clinical Laboratory Techniques
Programming Languages
Betacoronavirus
Laboratories
Pneumonia, Viral
Probability
The toll of noninfected CRS patients to the COVID-19 pandemic.
Rhinology
Oct 1, 2020
Social distancing with the aim of avoiding infections and pre-serve critical care capacities during the COVID-19 pandemic has been implemented in Germany according to World Health Organization (WHO) recommendations from early March onwards. Limitatio...
Usefulness of machine learning in COVID-19 for the detection and prognosis of cardiovascular complications.
Reviews in cardiovascular medicine
Sep 30, 2020
Since January 2020, coronavirus disease 2019 (COVID-19) has rapidly become a global concern, and its cardiovascular manifestations have highlighted the need for fast, sensitive and specific tools for early identification and risk stratification. Mach...
Survival Analysis of COVID-19 Patients in Russia Using Machine Learning.
Studies in health technology and informatics
Sep 4, 2020
The current pandemic can likely have several waves and will require a major effort to save lives and provide optimal treatment. The efficient clinical resource planning and efficient treatment require identification of risk groups and specific clinic...
COVID-19 and the epistemology of epidemiological models at the dawn of AI.
Annals of human biology
Sep 1, 2020
The models used to estimate disease transmission, susceptibility and severity determine what epidemiology can (and cannot tell) us about COVID-19. These include: 'model organisms' chosen for their phylogenetic/aetiological similarities; multivariable...
Artificial intelligence technology for diagnosing COVID-19 cases: a review of substantial issues.
European review for medical and pharmacological sciences
Sep 1, 2020
Today, the world suffers from the rapid spread of COVID-19, which has claimed thousands of lives. Unfortunately, its treatment is yet to be developed. Nevertheless, this phenomenon can be decelerated by diagnosing and quarantining patients with COVID...
Massive data initiatives and AI provide testbed for pandemic forecasting.
Nature biotechnology
Sep 1, 2020
Artificial intelligence in ophthalmology during COVID-19 and in the post COVID-19 era.
Current opinion in ophthalmology
Sep 1, 2020
PURPOSE OF REVIEW: To highlight artificial intelligence applications in ophthalmology during the COVID-19 pandemic that can be used to: describe ocular findings and changes correlated with COVID-19; extract information from scholarly articles on SARS...
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