AIMC Topic: Pandemics
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A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ.
Journal of biomedical informatics
Apr 22, 2021
BACKGROUND: Iraq is among the countries affected by the COVID-19 pandemic. As of 2 August 2020, 129,151 COVID-19 cases were confirmed, including 91,949 recovered cases and 4,867 deaths. After the announcement of lockdown in early April 2020, situatio...
Digital Transformation in Personalized Medicine with Artificial Intelligence and the Internet of Medical Things.
Omics : a journal of integrative biology
Apr 21, 2021
Digital transformation is impacting every facet of science and society, not least because there is a growing need for digital services and products with the COVID-19 pandemic. But the need for digital transformation in diagnostics and personalized me...
Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning.
Journal of healthcare engineering
Apr 20, 2021
Novel coronavirus pneumonia (NCP) has become a global pandemic disease, and computed tomography-based (CT) image analysis and recognition are one of the important tools for clinical diagnosis. In order to assist medical personnel to achieve an effici...
Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review.
International journal of environmental research and public health
Apr 18, 2021
COVID-19 is one of the greatest challenges humanity has faced recently, forcing a change in the daily lives of billions of people worldwide. Therefore, many efforts have been made by researchers across the globe in the attempt of determining the mode...
Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation.
Journal of medical Internet research
Apr 14, 2021
BACKGROUND: The COVID-19 pandemic is probably the greatest health catastrophe of the modern era. Spain's health care system has been exposed to uncontrollable numbers of patients over a short period, causing the system to collapse. Given that diagnos...
A remote management system for control and surveillance of echinococcosis: design and implementation based on internet of things.
Infectious diseases of poverty
Apr 13, 2021
BACKGROUND: As a neglected cross-species parasitic disease transmitted between canines and livestock, echinococcosis remains a global public health concern with a heavy disease burden. In China, especially in the epidemic pastoral communities on the ...
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification.
Medical image analysis
Apr 1, 2021
The current COVID-19 pandemic overloads healthcare systems, including radiology departments. Though several deep learning approaches were developed to assist in CT analysis, nobody considered study triage directly as a computer science problem. We de...
Machine learning methods to predict mechanical ventilation and mortality in patients with COVID-19.
PloS one
Apr 1, 2021
BACKGROUND: The Coronavirus disease 2019 (COVID-19) pandemic has affected millions of people across the globe. It is associated with a high mortality rate and has created a global crisis by straining medical resources worldwide.
Social Telepresence Robots: A Narrative Review of Experiments Involving Older Adults before and during the COVID-19 Pandemic.
International journal of environmental research and public health
Mar 30, 2021
Social isolation is a common phenomenon among the elderly. Retirement, widowhood, and increased prevalence of chronic diseases in this age group lead to a decline in social relationships, which in turn has adverse consequences on health and well-bein...
An automated COVID-19 detection based on fused dynamic exemplar pyramid feature extraction and hybrid feature selection using deep learning.
Computers in biology and medicine
Mar 27, 2021
The new coronavirus disease known as COVID-19 is currently a pandemic that is spread out the whole world. Several methods have been presented to detect COVID-19 disease. Computer vision methods have been widely utilized to detect COVID-19 by using ch...
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