AIMC Topic: Betacoronavirus
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An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images.
PloS one
Nov 17, 2020
A newly emerged coronavirus (COVID-19) seriously threatens human life and health worldwide. In coping and fighting against COVID-19, the most critical step is to effectively screen and diagnose infected patients. Among them, chest X-ray imaging techn...
Machine Learning for Mortality Analysis in Patients with COVID-19.
International journal of environmental research and public health
Nov 12, 2020
This paper analyzes a sample of patients hospitalized with COVID-19 in the region of Madrid (Spain). Survival analysis, logistic regression, and machine learning techniques (both supervised and unsupervised) are applied to carry out the analysis wher...
Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs.
PloS one
Nov 12, 2020
Data-driven deep learning (DL) methods using convolutional neural networks (CNNs) demonstrate promising performance in natural image computer vision tasks. However, their use in medical computer vision tasks faces several limitations, viz., (i) adapt...
Repurposing therapeutics for COVID-19: Rapid prediction of commercially available drugs through machine learning and docking.
PloS one
Nov 12, 2020
BACKGROUND: The outbreak of the novel coronavirus disease COVID-19, caused by the SARS-CoV-2 virus has spread rapidly around the globe during the past 3 months. As the virus infected cases and mortality rate of this disease is increasing exponentiall...
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.
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...
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, ...
Young Adult
Adult
Male
Middle Aged
Risk Assessment
SARS-CoV-2
Hospitalization
Aged
Aged, 80 and over
ROC Curve
Coronavirus Infections
New York City
Betacoronavirus
Pneumonia, Viral
Hospitals
Adolescent
Cohort Studies
Hospital Mortality
Humans
Machine Learning
COVID-19
Pandemics
Prognosis
Acute Kidney Injury
Electronic Health Records
Female
Prototype Development of an Expert System of Computerized Clinical Guidelines for COVID-19 Diagnosis and Management in Saudi Arabia.
International journal of environmental research and public health
Nov 2, 2020
The increasing number of COVID-19 patients has increased health care professionals' workloads, making the management of dynamic patient information in a timely and comprehensive manner difficult and sometimes impossible. Compounding this problem is a...
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