AIMC Topic: COVID-19
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Optimal Deep-Learning-Enabled Intelligent Decision Support System for SARS-CoV-2 Classification.
Journal of healthcare engineering
Jan 25, 2022
Intelligent decision support systems (IDSS) for complex healthcare applications aim to examine a large quantity of complex healthcare data to assist doctors, researchers, pathologists, and other healthcare professionals. A decision support system (DS...
The application of a deep learning system developed to reduce the time for RT-PCR in COVID-19 detection.
Scientific reports
Jan 24, 2022
Reducing the time to diagnose COVID-19 helps to manage insufficient isolation-bed resources and adequately accommodate critically ill patients. There is currently no alternative method to real-time reverse transcriptase polymerase chain reaction (RT-...
Assessment of medical waste generation, associated environmental impact, and management issues after the outbreak of COVID-19: A case study of the Hubei Province in China.
PloS one
Jan 24, 2022
COVID-19 greatly challenges the human health sector, and has resulted in a large amount of medical waste that poses various potential threats to the environment. In this study, we compiled relevant data released by official agencies and the media, an...
Performance change with the number of training data: A case study on the binary classification of COVID-19 chest X-ray by using convolutional neural networks.
Computers in biology and medicine
Jan 23, 2022
One of the features of artificial intelligence/machine learning-based medical devices resides in their ability to learn from real-world data. However, obtaining a large number of training data in the early phase is difficult, and the device performan...
Genetic prediction of ICU hospitalization and mortality in COVID-19 patients using artificial neural networks.
Journal of cellular and molecular medicine
Jan 22, 2022
There is an unmet need of models for early prediction of morbidity and mortality of Coronavirus disease-19 (COVID-19). We aimed to a) identify complement-related genetic variants associated with the clinical outcomes of ICU hospitalization and death,...
COVID-19 detection in CT and CXR images using deep learning models.
Biogerontology
Jan 22, 2022
Infectious diseases pose a threat to human life and could affect the whole world in a very short time. Corona-2019 virus disease (COVID-19) is an example of such harmful diseases. COVID-19 is a pandemic of an emerging infectious disease, called coron...
Automated detection of COVID-19 through convolutional neural network using chest x-ray images.
PloS one
Jan 21, 2022
The COVID-19 epidemic has a catastrophic impact on global well-being and public health. More than 27 million confirmed cases have been reported worldwide until now. Due to the growing number of confirmed cases, and challenges to the variations of the...
Current forecast of COVID-19 in Mexico: A Bayesian and machine learning approaches.
PloS one
Jan 21, 2022
The COVID-19 pandemic has been widely spread and affected millions of people and caused hundreds of deaths worldwide, especially in patients with comorbilities and COVID-19. This manuscript aims to present models to predict, firstly, the number of co...
An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection.
Environmental science and pollution research international
Jan 20, 2022
The formalization and solution of supplier selection problems (SSPs) based on sustainable (economic, environmental, and social) indicators have become a fundamental tool to perform a strategic analysis of the whole supply chain process and maximize t...
COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization.
Computers in biology and medicine
Jan 20, 2022
The coronavirus outbreak 2019, called COVID-19, which originated in Wuhan, negatively affected the lives of millions of people and many people died from this infection. To prevent the spread of the disease, which is still in effect, various restricti...
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