AIMC Topic: COVID-19

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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...
SARS-CoV-2 Humans Unsupervised Machine Learning Pandemics COVID-19 Electronic Health Records Coronavirus Infections Betacoronavirus Pneumonia, Viral
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Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2.

European review for medical and pharmacological sciences Nov 1, 2020
Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARS-CoV-19 through existing data that reveal the SARS's cause. Artificial intelligence (AI) learning models can be created to predict drug s...
Humans Adenosine Monophosphate Drug Repositioning Vitamins Artificial Intelligence COVID-19 Vaccines Ribavirin Ascorbic Acid Machine Learning Drug Development Alanine Ritonavir COVID-19 Antibodies, Monoclonal, Humanized COVID-19 Drug Treatment Lopinavir Drug Combinations Deep Learning Immunosuppressive Agents Chloroquine Antiviral Agents Hydroxychloroquine
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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. ...
Lung Deep Learning Image Processing, Computer-Assisted Predictive Value of Tests RNA, Viral Quarantine Coronavirus Infections Polymerase Chain Reaction Radiography, Thoracic Betacoronavirus Humans Pandemics COVID-19 Tomography, X-Ray Computed SARS-CoV-2 Pneumonia, Viral Patient Isolation
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The next-generation bots interfering with the US election.

Nature Nov 1, 2020
United States Social Media COVID-19 Russia Computer Security Communication Humans Politics Public Health Artificial Intelligence China Machine Learning Data Science
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Deus Ex Machina? Predicting SARS-CoV-2 Infection from Lab Tests Using Machine Learning.

Clinical chemistry Nov 1, 2020
Betacoronavirus Pneumonia, Viral Programming Languages Laboratories Probability Blood Cell Count Clinical Laboratory Techniques Electronic Health Records SARS-CoV-2 Reverse Transcriptase Polymerase Chain Reaction Coronavirus Infections COVID-19 Testing Humans Machine Learning Pandemics COVID-19 Algorithms
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Detection of COVID-19 Using Deep Learning Algorithms on Chest Radiographs.

Journal of thoracic imaging Nov 1, 2020
PURPOSE: To evaluate the performance of a deep learning (DL) algorithm for the detection of COVID-19 on chest radiographs (CXR).
Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Adult Sensitivity and Specificity Male Middle Aged Lung Humans COVID-19 Algorithms Retrospective Studies Female SARS-CoV-2 Aged Young Adult
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Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning.

Clinical chemistry Nov 1, 2020
BACKGROUND: Accurate diagnostic strategies to identify SARS-CoV-2 positive individuals rapidly for management of patient care and protection of health care personnel are urgently needed. The predominant diagnostic test is viral RNA detection by RT-PC...
Humans Machine Learning Young Adult Adult Male Middle Aged Reverse Transcriptase Polymerase Chain Reaction Pandemics COVID-19 Retrospective Studies Female Aged Hematologic Tests Clinical Laboratory Techniques Pneumonia, Viral ROC Curve Models, Theoretical Coronavirus Infections COVID-19 Testing Laboratories
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Concerns for management of STEMI patients in the COVID-19 era: a paradox phenomenon.

Journal of thrombosis and thrombolysis Nov 1, 2020
The pandemic of coronavirus disease 2019 (COVID-19) has become a public health emergency of international concern. During this time, the management of people with acute coronary syndromes (ACS) and COVID-19 has become a global issue, especially since...
Acute Coronary Syndrome COVID-19 Motor Activity Risk Factors Pneumonia, Viral Infection Control Infectious Disease Transmission, Patient-to-Professional Occupational Exposure Personal Protective Equipment Humans Treatment Outcome Pandemics Robotics Thrombolytic Therapy ST Elevation Myocardial Infarction Percutaneous Coronary Intervention Coronavirus Infections
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A Novel Machine Learning-derived Radiomic Signature of the Whole Lung Differentiates Stable From Progressive COVID-19 Infection: A Retrospective Cohort Study.

Journal of thoracic imaging Nov 1, 2020
OBJECTIVE: This study aimed to use the radiomics signatures of a machine learning-based tool to evaluate the prognosis of patients with coronavirus disease 2019 (COVID-19) infection.
Humans Machine Learning COVID-19 Retrospective Studies Tomography, X-Ray Computed Middle Aged Disease Progression Lung Severity of Illness Index Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Female Reproducibility of Results SARS-CoV-2 Sensitivity and Specificity Male
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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...
Germany Otolaryngology Humans Betacoronavirus Sinusitis Artificial Intelligence Rhinitis Pneumonia, Viral Pandemics Chronic Disease COVID-19 Coronavirus Infections SARS-CoV-2 Telemedicine
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