AIMC Topic: COVID-19
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A complex fuzzy decision model for analysing the post-pandemic immuno-sustainability.
Acta tropica
May 19, 2024
The post-effects of the COronaVIrus Disease (COVID-19) vary depending on socioeconomic and biological factors. Similarly, the effects of vaccination on people's immunity vary across several factors. After the pandemic, real-life post-vaccination anom...
Surveying haemoperfusion impact on COVID-19 from machine learning using Shapley values.
Inflammopharmacology
May 19, 2024
BACKGROUND: Haemoperfusion (HP) is an innovative extracorporeal therapy that utilizes special cartridges to filter the blood, effectively removing pro-inflammatory cytokines, toxins, and pathogens in COVID-19 patients. This retrospective cohort study...
Random forest models of food safety behavior during the COVID-19 pandemic.
International journal of environmental health research
May 17, 2024
Machine learning approaches are increasingly being adopted as data analysis tools in scientific behavioral predictions. This paper utilizes a machine learning approach, Random Forest Model, to determine the top prediction variables of food safety beh...
Enhancing multi-class lung disease classification in chest x-ray images: A hybrid manta-ray foraging volcano eruption algorithm boosted multilayer perceptron neural network approach.
Network (Bristol, England)
May 16, 2024
One of the most used diagnostic imaging techniques for identifying a variety of lung and bone-related conditions is the chest X-ray. Recent developments in deep learning have demonstrated several successful cases of illness diagnosis from chest X-ray...
The Surgical Clerkship in the COVID Era: A Natural Language Processing and Thematic Analysis.
The Journal of surgical research
May 16, 2024
INTRODUCTION: Responses to COVID-19 within medical education prompted significant changes to the surgical clerkship. We analyzed the changes in medical student end of course feedback before and after the COVID-19 outbreak.
Workout Classification Using a Convolutional Neural Network in Ensemble Learning.
Sensors (Basel, Switzerland)
May 15, 2024
To meet the increased demand for home workouts owing to the COVID-19 pandemic, this study proposes a new approach to real-time exercise posture classification based on the convolutional neural network (CNN) in an ensemble learning system. By utilizin...
ERSegDiff: a diffusion-based model for edge reshaping in medical image segmentation.
Physics in medicine and biology
May 14, 2024
Medical image segmentation is a crucial field of computer vision. Obtaining correct pathological areas can help clinicians analyze patient conditions more precisely. We have observed that both CNN-based and attention-based neural networks often produ...
Algorithms for predicting COVID outcome using ready-to-use laboratorial and clinical data.
Frontiers in public health
May 14, 2024
The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging crisis affecting the public health system. The clinical features of COVID-19 can range from an asymptomatic state to acute respiratory syndrome and mul...
Feature fusion method for pulmonary tuberculosis patient detection based on cough sound.
PloS one
May 14, 2024
Since the COVID-19, cough sounds have been widely used for screening purposes. Intelligent analysis techniques have proven to be effective in detecting respiratory diseases. In 2021, there were up to 10 million TB-infected patients worldwide, with an...
A Retrospective Analysis of Indoor CO Measurements Obtained with a Mobile Robot during the COVID-19 Pandemic.
Sensors (Basel, Switzerland)
May 13, 2024
This work presents a retrospective analysis of indoor CO measurements obtained with a mobile robot in an educational building after the COVID-19 lockdown (May 2021), at a time when public activities resumed with mandatory local pandemic restrictions....
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