AIMC Topic: SARS-CoV-2

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COVID-19 mortality rate prediction for India using statistical neural networks and gaussian process regression model.

African health sciences Mar 1, 2021
The primary purpose of this research is to identify the best COVID-19 mortality model for India using regression models and is to estimate the future COVID-19 mortality rate for India. Specifically, Statistical Neural Networks (Radial Basis Function ...
Neural Networks, Computer Pandemics COVID-19 Forecasting Humans Regression Analysis Models, Biological Mortality SARS-CoV-2 India Models, Statistical
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Accurate classification of COVID-19 patients with different severity via machine learning.

Clinical and translational medicine Mar 1, 2021
Machine Learning SARS-CoV-2 Severity of Illness Index Humans COVID-19 Male Female
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Use of Telepresence Robots in Glaucoma Patient Education.

Journal of glaucoma Mar 1, 2021
PRCIS: Telepresence robots (TR) present the versatility to effectively provide remote educational sessions for patients affected by glaucoma to improve disease knowledge. Given COVID-19's effect on clinical practice, TR can maintain social distancing...
Female SARS-CoV-2 Intraocular Pressure Health Knowledge, Attitudes, Practice Male Middle Aged Glaucoma Robotics Patient Education as Topic Humans Comorbidity Mental Recall Surveys and Questionnaires Pandemics COVID-19
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Using machine learning to estimate the effect of racial segregation on COVID-19 mortality in the United States.

Proceedings of the National Academy of Sciences of the United States of America Feb 16, 2021
This study examines the role that racial residential segregation has played in shaping the spread of COVID-19 in the United States as of September 30, 2020. The analysis focuses on the effects of racial residential segregation on mortality and infect...
United States Socioeconomic Factors Regression Analysis Ethnicity COVID-19 SARS-CoV-2 Risk Factors Mortality Social Segregation Humans Machine Learning
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Using machine learning to investigate the public's emotional responses to work from home during the COVID-19 pandemic.

The Journal of applied psychology Feb 1, 2021
According to event system theory (EST; Morgeson et al., Academy of Management Review, 40, 2015, 515-537), the coronavirus disease 2019 (COVID-19) pandemic and resultant stay-at-home orders are novel, critical, and disruptive events at the environment...
Longitudinal Studies Emotions Humans Teleworking COVID-19 SARS-CoV-2 Quarantine Machine Learning
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The 2021 COVID-19 Artificial Intelligence Issue.

Clinical genitourinary cancer Feb 1, 2021
Urogenital Neoplasms Physical Distancing Wireless Technology Telemedicine Artificial Intelligence Personal Protective Equipment Medical Oncology Global Burden of Disease Pandemics Time-to-Treatment COVID-19 Humans Contact Tracing SARS-CoV-2 Smartphone
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A deep learning-based medication behavior monitoring system.

Mathematical biosciences and engineering : MBE Jan 28, 2021
The internet of things (IoT) and deep learning are emerging technologies in diverse research fields, including the provision of IT services in medical domains. In the COVID-19 era, intelligent medication behavior monitoring systems for stable patient...
Equipment Design COVID-19 Drug Treatment Humans Assessment of Medication Adherence Computer Systems Pandemics Deep Learning Internet of Things Neural Networks, Computer Directly Observed Therapy Medication Adherence SARS-CoV-2 Wearable Electronic Devices Software Biomedical Engineering Monitoring, Physiologic
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Early prediction of mortality risk among patients with severe COVID-19, using machine learning.

International journal of epidemiology Jan 23, 2021
BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 infection, has been spreading globally. We aimed to develop a clinical model to predict the outcome of patients with severe COVID-19 infection ...
Hospitalization Aged Sensitivity and Specificity Risk Assessment Hospitals Male Middle Aged Machine Learning COVID-19 Female SARS-CoV-2 Humans Case-Control Studies ROC Curve Patient Admission
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How could robotics help establish a new norm after COVID-19?

Science robotics Jan 20, 2021
In a time of upheaval, robotics has an opportunity to offer long-term solutions and radical change.
SARS-CoV-2 Humans Public Health COVID-19 Robotics Communicable Diseases
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An evaluation of two commercial deep learning-based information retrieval systems for COVID-19 literature.

Journal of the American Medical Informatics Association : JAMIA Jan 15, 2021
The COVID-19 pandemic has resulted in a tremendous need for access to the latest scientific information, leading to both corpora for COVID-19 literature and search engines to query such data. While most search engine research is performed in academia...
Information Systems Search Engine COVID-19 Deep Learning Humans SARS-CoV-2 Information Storage and Retrieval
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