AIMC Topic: Pandemics
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AutoCoV: tracking the early spread of COVID-19 in terms of the spatial and temporal patterns from embedding space by K-mer based deep learning.
BMC bioinformatics
Apr 25, 2022
BACKGROUND: The widely spreading coronavirus disease (COVID-19) has three major spreading properties: pathogenic mutations, spatial, and temporal propagation patterns. We know the spread of the virus geographically and temporally in terms of statisti...
Efficient Framework for Detection of COVID-19 Omicron and Delta Variants Based on Two Intelligent Phases of CNN Models.
Computational and mathematical methods in medicine
Apr 21, 2022
INTRODUCTION: While the COVID-19 pandemic was waning in most parts of the world, a new wave of COVID-19 Omicron and Delta variants in Central Asia and the Middle East caused a devastating crisis and collapse of health-care systems. As the diagnostic ...
Association between loneliness and acceptance of using robots and pets as companions among older Chinese immigrants during the COVID-19 pandemic.
Australasian journal on ageing
Apr 19, 2022
OBJECTIVES: To examine loneliness experienced by middle-aged and older Chinese immigrants and its association with accepting technology as a companion (apps, Internet and robots) versus owning pets, when social distancing measures were implemented in...
TSRNet: Diagnosis of COVID-19 based on self-supervised learning and hybrid ensemble model.
Computers in biology and medicine
Apr 16, 2022
BACKGROUND: As of Feb 27, 2022, coronavirus (COVID-19) has caused 434,888,591 infections and 5,958,849 deaths worldwide, dealing a severe blow to the economies and cultures of most countries around the world. As the virus has mutated, its infectious ...
Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics.
IEEE journal of biomedical and health informatics
Apr 14, 2022
Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. Timely, accurate and complete death reporting is critical for public health, especially during the COVID-19 pandemic, as institutions and government a...
Deep learning of chest X-rays can predict mechanical ventilation outcome in ICU-admitted COVID-19 patients.
Scientific reports
Apr 13, 2022
The COVID-19 pandemic repeatedly overwhelms healthcare systems capacity and forced the development and implementation of triage guidelines in ICU for scarce resources (e.g. mechanical ventilation). These guidelines were often based on known risk fact...
Think positive: An interpretable neural network for image recognition.
Neural networks : the official journal of the International Neural Network Society
Apr 4, 2022
The COVID-19 pandemic is an ongoing pandemic and is placing additional burden on healthcare systems around the world. Timely and effectively detecting the virus can help to reduce the spread of the disease. Although, RT-PCR is still a gold standard f...
Using artificial intelligence to support rapid, mixed-methods analysis: Developing an automated qualitative assistant (AQUA).
Annals of family medicine
Apr 1, 2022
Context: Qualitative research - crucial for understanding human behavior - remains underutilized, in part due to the time and cost of annotating qualitative data (coding). Artificial intelligence (AI) has been suggested as a means to reduce those bur...
Automatic detection of pneumonia in chest X-ray images using textural features.
Computers in biology and medicine
Mar 30, 2022
Fast and accurate diagnosis is critical for the triage and management of pneumonia, particularly in the current scenario of a COVID-19 pandemic, where this pathology is a major symptom of the infection. With the objective of providing tools for that ...
An Efficient and Effective Deep Learning-Based Model for Real-Time Face Mask Detection.
Sensors (Basel, Switzerland)
Mar 29, 2022
Since December 2019, the COVID-19 pandemic has led to a dramatic loss of human lives and caused severe economic crises worldwide. COVID-19 virus transmission generally occurs through a small respiratory droplet ejected from the mouth or nose of an in...
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