AIMC Topic: Betacoronavirus
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Predicting Psychological Distress Amid the COVID-19 Pandemic by Machine Learning: Discrimination and Coping Mechanisms of Korean Immigrants in the U.S.
International journal of environmental research and public health
Aug 20, 2020
The current study examined the predictive ability of discrimination-related variables, coping mechanisms, and sociodemographic factors on the psychological distress level of Korean immigrants in the U.S. amid the COVID-19 pandemic. Korean immigrants ...
Evaluation of the COVID-19 Pandemic Intervention Strategies with Hesitant F-AHP.
Journal of healthcare engineering
Aug 20, 2020
In this study, a hesitant fuzzy AHP method is presented to help decision makers (DMs), especially policymakers, governors, and physicians, evaluate the importance of intervention strategy alternatives applied by various countries for the COVID-19 pan...
Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare.
Medical image analysis
Aug 19, 2020
In this position paper, we provide a collection of views on the role of AI in the COVID-19 pandemic, from clinical requirements to the design of AI-based systems, to the translation of the developed tools to the clinic. We highlight key factors in de...
Screening of Therapeutic Agents for COVID-19 Using Machine Learning and Ensemble Docking Studies.
The journal of physical chemistry letters
Aug 14, 2020
The current pandemic demands a search for therapeutic agents against the novel coronavirus SARS-CoV-2. Here, we present an efficient computational strategy that combines machine learning (ML)-based models and high-fidelity ensemble docking studies to...
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets.
Nature communications
Aug 14, 2020
Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19 associated lung disease. Artificial intelligence (AI) has the potential to aid in rapid evaluation of CT scans for differentiation of COVID-19 findings from other ...
Aged, 80 and over
Young Adult
Adult
Male
Middle Aged
Algorithms
Tomography, X-Ray Computed
Female
SARS-CoV-2
Aged
Imaging, Three-Dimensional
Radiographic Image Interpretation, Computer-Assisted
Coronavirus Infections
COVID-19 Testing
Clinical Laboratory Techniques
Lung
Deep Learning
Adolescent
Child, Preschool
Child
Humans
Artificial Intelligence
Pandemics
COVID-19
Betacoronavirus
Pneumonia, Viral
Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic.
Journal of medical Internet research
Aug 14, 2020
BACKGROUND: A novel disease poses special challenges for informatics solutions. Biomedical informatics relies for the most part on structured data, which require a preexisting data or knowledge model; however, novel diseases do not have preexisting k...
The use of knowledge management tools in viroinformatics. Example study of a highly conserved sequence motif in Nsp3 of SARS-CoV-2 as a therapeutic target.
Computers in biology and medicine
Aug 13, 2020
Knowledge management tools that assist in systematic review and exploration of scientific knowledge generally are of obvious potential importance in evidence based medicine in general, but also to the design of therapeutics based on the protein subse...
Comparing different deep learning architectures for classification of chest radiographs.
Scientific reports
Aug 12, 2020
Chest radiographs are among the most frequently acquired images in radiology and are often the subject of computer vision research. However, most of the models used to classify chest radiographs are derived from openly available deep neural networks,...
Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based Approach.
Journal of healthcare engineering
Aug 11, 2020
Coronavirus Disease (COVID19) is a fast-spreading infectious disease that is currently causing a healthcare crisis around the world. Due to the current limitations of the reverse transcription-polymerase chain reaction (RT-PCR) based tests for detect...
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial.
Computers in biology and medicine
Aug 6, 2020
BACKGROUND: Currently, physicians are limited in their ability to provide an accurate prognosis for COVID-19 positive patients. Existing scoring systems have been ineffective for identifying patient decompensation. Machine learning (ML) may offer an ...
Respiratory Insufficiency
COVID-19 Testing
COVID-19 Drug Treatment
Clinical Laboratory Techniques
Betacoronavirus
Pneumonia, Viral
Respiration, Artificial
Computational Biology
United States
Triage
Coronavirus Infections
Aged, 80 and over
Humans
Adult
Machine Learning
Sensitivity and Specificity
Pandemics
Male
COVID-19
Middle Aged
Prospective Studies
Algorithms
Prognosis
Female
SARS-CoV-2
Aged
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