AIMC Topic: Pandemics
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Development and Progress in Sensors and Technologies for Human Emotion Recognition.
Sensors (Basel, Switzerland)
Aug 18, 2021
With the advancement of human-computer interaction, robotics, and especially humanoid robots, there is an increasing trend for human-to-human communications over online platforms (e.g., zoom). This has become more significant in recent years due to t...
Natural Language Processing Insight into LGBTQ+ Youth Mental Health During the COVID-19 Pandemic: Longitudinal Content Analysis of Anxiety-Provoking Topics and Trends in Emotion in LGBTeens Microcommunity Subreddit.
JMIR public health and surveillance
Aug 17, 2021
BACKGROUND: Widespread fear surrounding COVID-19, coupled with physical and social distancing orders, has caused severe adverse mental health outcomes. Little is known, however, about how the COVID-19 crisis has impacted LGBTQ+ youth, who disproporti...
Validating deep learning inference during chest X-ray classification for COVID-19 screening.
Scientific reports
Aug 9, 2021
The new coronavirus unleashed a worldwide pandemic in early 2020, and a fatality rate several times that of the flu. As the number of infections soared, and capabilities for testing lagged behind, chest X-ray (CXR) imaging became more relevant in the...
LUNAR :Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 6, 2021
An outbreak of COVID-19 that began in late 2019 was caused by a novel coronavirus(SARS-CoV-2). It has become a global pandemic. As of June 9, 2020, it has infected nearly 7 million people and killed more than 400,000, but there is no specific drug. T...
Deep Bidirectional Classification Model for COVID-19 Disease Infected Patients.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 6, 2021
In December of 2019, a novel coronavirus (COVID-19) appeared in Wuhan city, China and has been reported in many countries with millions of people infected within only four months. Chest computed Tomography (CT) has proven to be a useful supplement to...
Machine learning based approach to exam cheating detection.
PloS one
Aug 4, 2021
The COVID-19 pandemic has impelled the majority of schools and universities around the world to switch to remote teaching. One of the greatest challenges in online education is preserving the academic integrity of student assessments. The lack of dir...
The Humanoid Robot Sil-Bot in a Cognitive Training Program for Community-Dwelling Elderly People with Mild Cognitive Impairment during the COVID-19 Pandemic: A Randomized Controlled Trial.
International journal of environmental research and public health
Aug 3, 2021
BACKGROUND: Mild cognitive impairment (MCI) is a stage preceding dementia, and early intervention is critical. This study investigated whether multi-domain cognitive training programs, especially robot-assisted training, conducted 12 times, twice a w...
Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19.
Computational intelligence and neuroscience
Aug 3, 2021
The COVID-19 pandemic has had a significant impact on public life and health worldwide, putting the world's healthcare systems at risk. The first step in stopping this outbreak is to detect the infection in its early stages, which will relieve the ri...
Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors.
Scientific reports
Aug 2, 2021
The COVID-19 pandemic continues to have a devastating impact on Brazil. Brazil's social, health and economic crises are aggravated by strong societal inequities and persisting political disarray. This complex scenario motivates careful study of the c...
Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study.
The Lancet. Digital health
Jul 29, 2021
BACKGROUND: Self-reported symptoms during the COVID-19 pandemic have been used to train artificial intelligence models to identify possible infection foci. To date, these models have only considered the culmination or peak of symptoms, which is not s...
Models, Biological
Self Report
Humans
Chest Pain
United Kingdom
Young Adult
Dyspnea
Female
Early Diagnosis
Male
Adult
SARS-CoV-2
Artificial Intelligence
Epidemiologic Studies
Middle Aged
Sensitivity and Specificity
Aged
Anosmia
Pandemics
Adolescent
Aged, 80 and over
COVID-19
Mobile Applications
Prospective Studies
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