Prognostic nutritional index, controlling nutritional status (CONUT) score, and inflammatory biomarkers as predictors of deep vein thrombosis, acute pulmonary …

AV Mureșan, I Hălmaciu, EM Arbănași, R Kaller… - Diagnostics, 2022 - mdpi.com
Background: Numerous tools, including nutritional and inflammatory markers, have been
evaluated as the predictors of poor outcomes in COVID-19 patients. This study aims to verify …

Retracted article: evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray …

C Wu, M Khishe, M Mohammadi, SH Taher Karim… - Soft Computing, 2023 - Springer
The COVID19 pandemic globally and significantly has affected the life and health of many
communities. The early detection of infected patients is effective in fighting COVID19. Using …

D2BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI …

A Hamza, MA Khan, M Alhaisoni, A Al Hejaili… - Diagnostics, 2022 - mdpi.com
Background and Objective: In 2019, a corona virus disease (COVID-19) was detected in
China that affected millions of people around the world. On 11 March 2020, the WHO …

[PDF][PDF] Cooperative Swarm Intelligence Algorithms for Adaptive Multilevel Thresholding Segmentation of COVID-19 CT-Scan Images.

M Sabha, T Thaher, MM Emam - JUCS: Journal of Universal Computer …, 2023 - core.ac.uk
The Coronavirus Disease 2019 (COVID-19) is widespread throughout the world and poses
a serious threat to public health and safety. A COVID-19 infection can be recognized using …

New real-time impulse noise removal method applied to chest X-ray images

N Rashid, K Berriri, M Albekairi, K Kaaniche… - Diagnostics, 2022 - mdpi.com
In this paper, we propose a new Modified Laplacian Vector Median Filter (MLVMF) for real-
time denoising complex images corrupted by “salt and pepper” impulsive noise. The method …

Ethic wars: student and educator attitudes in the context of ChatGPT

S Eken - Available at SSRN 4365433, 2023 - papers.ssrn.com
Technologists and educators have been both fascinated and frightened since the
publication of ChatGPT. ChatGPT has both supporters and detractors, but it is informative for …

Gold Returns Prediction: Assessment based on Major Events

A Yavuz, S Eken - EAI Endorsed Transactions on Scalable …, 2023 - publications.eai.eu
INTRODUCTION: Major events such as economic crises, inflation, geopolitical tensions, and
interest rates can have a significant impact on the price and returns of gold. OBJECTIVES: In …

Radiographic Image Processing Analysis for Lung Infection-A Review

RD Ishwerlal, R Agarwal… - … Conference on Computer …, 2022 - ieeexplore.ieee.org
This paper presents a brief review on the developments of computer aided diagnosis system
using image processing approaches. The rapid increase in lung infections which was in …

COVID-19 and Behavioral Analytics: Deep Learning-Based Work-From-Home Sensing from Reddit Comments

MME Yurtsever, E Ekinci, S Eken - International Conference on Computing …, 2023 - Springer
For the foreseeable future, managing the work from home (WFH) workplace will continue to
be a challenge for enterprises. An essential stage in developing and improving a plan is …

Design of a Scalable Content-based Publish-subscribe Model for Efficient Information Dissemination in Obstetrics and Gynaecology

O OA, E JO, O JB, A FA - Asian Journal of Advanced …, 2024 - library.2pressrelease.co.in
Publish-subscribe models provide a scalable solution for exchanging information in the
distributed environment of public health care. However, existing health information systems …