AIMC Topic:
SARS-CoV-2
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The value of federated learning during and post-COVID-19.
International journal for quality in health care : journal of the International Society for Quality in Health Care
Mar 4, 2021
Federated learning (FL) as a distributed machine learning (ML) technique has lately attracted increasing attention of healthcare stakeholders as FL is perceived as a promising decentralized approach to address data privacy and security concerns. The ...
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 ...
Accurate classification of COVID-19 patients with different severity via machine learning.
Clinical and translational medicine
Mar 1, 2021
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...
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...
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...
The 2021 COVID-19 Artificial Intelligence Issue.
Clinical genitourinary cancer
Feb 1, 2021
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
Internet of Things
Biomedical Engineering
Computer Systems
Medication Adherence
Monitoring, Physiologic
Humans
Deep Learning
Pandemics
Neural Networks, Computer
Assessment of Medication Adherence
Wearable Electronic Devices
SARS-CoV-2
Directly Observed Therapy
Software
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 ...
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.
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