AIMC Topic: Pandemics
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Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia-Challenges, strengths, and opportunities in a global health emergency.
PloS one
Nov 12, 2020
AIMS: The aim of this study was to estimate a 48 hour prediction of moderate to severe respiratory failure, requiring mechanical ventilation, in hospitalized patients with COVID-19 pneumonia.
Automatic detection of COVID-19 from chest radiographs using deep learning.
Radiography (London, England : 1995)
Nov 11, 2020
INTRODUCTION: The breakdown of a deadly infectious disease caused by a newly discovered coronavirus (named SARS n-CoV2) back in December 2019 has shown no respite to slow or stop in general. This contagious disease has spread across different lengths...
Cherry Tomato Production in Intelligent Greenhouses-Sensors and AI for Control of Climate, Irrigation, Crop Yield, and Quality.
Sensors (Basel, Switzerland)
Nov 11, 2020
Greenhouses and indoor farming systems play an important role in providing fresh and nutritious food for the growing global population. Farms are becoming larger and greenhouse growers need to make complex decisions to maximize production and minimiz...
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images.
Scientific reports
Nov 11, 2020
The Coronavirus Disease 2019 (COVID-19) pandemic continues to have a devastating effect on the health and well-being of the global population. A critical step in the fight against COVID-19 is effective screening of infected patients, with one of the ...
Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study.
JMIR public health and surveillance
Nov 11, 2020
BACKGROUND: COVID-19 is a scientifically and medically novel disease that is not fully understood because it has yet to be consistently and deeply studied. Among the gaps in research on the COVID-19 outbreak, there is a lack of sufficient infoveillan...
Whether the weather will help us weather the COVID-19 pandemic: Using machine learning to measure twitter users' perceptions.
International journal of medical informatics
Nov 10, 2020
OBJECTIVE: The potential ability for weather to affect SARS-CoV-2 transmission has been an area of controversial discussion during the COVID-19 pandemic. Individuals' perceptions of the impact of weather can inform their adherence to public health gu...
The Hidden Pandemic of Family Violence During COVID-19: Unsupervised Learning of Tweets.
Journal of medical Internet research
Nov 6, 2020
BACKGROUND: Family violence (including intimate partner violence/domestic violence, child abuse, and elder abuse) is a hidden pandemic happening alongside COVID-19. The rates of family violence are rising fast, and women and children are disproportio...
Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature.
Journal of medical Internet research
Nov 6, 2020
BACKGROUND: The COVID-19 pandemic is favoring digital transitions in many industries and in society as a whole. Health care organizations have responded to the first phase of the pandemic by rapidly adopting digital solutions and advanced technology ...
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.
Journal of medical Internet research
Nov 6, 2020
BACKGROUND: COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, ...
Adult
Male
Middle Aged
Risk Assessment
Hospitalization
Aged
Aged, 80 and over
Young Adult
ROC Curve
Coronavirus Infections
New York City
Betacoronavirus
Pneumonia, Viral
Hospitals
Adolescent
Cohort Studies
Machine Learning
Hospital Mortality
Pandemics
Humans
COVID-19
Prognosis
Acute Kidney Injury
Electronic Health Records
Female
SARS-CoV-2
Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography.
Scientific reports
Nov 5, 2020
Computed tomography (CT) is the preferred imaging method for diagnosing 2019 novel coronavirus (COVID19) pneumonia. We aimed to construct a system based on deep learning for detecting COVID-19 pneumonia on high resolution CT. For model development an...
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