[HTML][HTML] Anosmia and dysgeusia in SARS-CoV-2 infection: incidence and effects on COVID-19 severity and mortality, and the possible pathobiology mechanisms-a …
Background: The present study aimed to determine the global prevalence of anosmia and
dysgeusia in coronavirus disease 2019 (COVID-19) patients and to assess their association …
dysgeusia in coronavirus disease 2019 (COVID-19) patients and to assess their association …
RETRACTED AND REPLACED: Taste loss as a distinct symptom of COVID-19: a systematic review and meta-analysis
ME Hannum, RJ Koch, VA Ramirez, SS Marks… - Chemical …, 2022 - academic.oup.com
Chemosensory scientists have been skeptical that reports of COVID-19 taste loss are
genuine, in part because before COVID-19 taste loss was rare and often confused with smell …
genuine, in part because before COVID-19 taste loss was rare and often confused with smell …
Deep learning based detection and analysis of COVID-19 on chest X-ray images
Covid-19 is a rapidly spreading viral disease that infects not only humans, but animals are
also infected because of this disease. The daily life of human beings, their health, and the …
also infected because of this disease. The daily life of human beings, their health, and the …
Prevalence of olfactory dysfunction in coronavirus disease 2019 (COVID‐19): a meta‐analysis of 27,492 patients
Objectives/Hypothesis Olfactory dysfunction has been observed as one of the clinical
manifestations in COVID‐19 patients. We aimed to conduct a systematic review and meta …
manifestations in COVID‐19 patients. We aimed to conduct a systematic review and meta …
Covid-cxnet: Detecting covid-19 in frontal chest x-ray images using deep learning
A Haghanifar, MM Majdabadi, Y Choi… - Multimedia tools and …, 2022 - Springer
One of the primary clinical observations for screening the novel coronavirus is capturing a
chest x-ray image. In most patients, a chest x-ray contains abnormalities, such as …
chest x-ray image. In most patients, a chest x-ray contains abnormalities, such as …
Transfer learning to detect COVID‐19 automatically from X‐Ray images using convolutional neural networks
MM Taresh, N Zhu, TAA Ali… - … Journal of Biomedical …, 2021 - Wiley Online Library
The novel coronavirus disease 2019 (COVID‐19) is a contagious disease that has caused
thousands of deaths and infected millions worldwide. Thus, various technologies that allow …
thousands of deaths and infected millions worldwide. Thus, various technologies that allow …
Diagnosis of COVID-19 by exhaled breath analysis using gas chromatography–mass spectrometry
W Ibrahim, RL Cordell, MJ Wilde… - ERJ open …, 2021 - Eur Respiratory Soc
Background The ongoing coronavirus disease 2019 (COVID-19) pandemic has claimed
over two and a half million lives worldwide so far. Severe acute respiratory syndrome …
over two and a half million lives worldwide so far. Severe acute respiratory syndrome …
Co-infections, secondary infections, and antimicrobial use in patients hospitalized with COVID-19 during the first five waves of the pandemic in Pakistan; findings and …
K Ramzan, S Shafiq, I Raees, ZU Mustafa, M Salman… - Antibiotics, 2022 - mdpi.com
Background: COVID-19 patients are typically prescribed antibiotics empirically despite
concerns. There is a need to evaluate antibiotic use among hospitalized COVID-19 patients …
concerns. There is a need to evaluate antibiotic use among hospitalized COVID-19 patients …
Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusion
FJP Montalbo - Biomedical Signal Processing and Control, 2021 - Elsevier
Due to the unforeseen turn of events, our world has undergone another global pandemic
from a highly contagious novel coronavirus named COVID-19. The novel virus inflames the …
from a highly contagious novel coronavirus named COVID-19. The novel virus inflames the …
[HTML][HTML] COVID-19 diagnosis: A comprehensive review of pre-trained deep learning models based on feature extraction algorithm
RG Poola, L Pl - Results in Engineering, 2023 - Elsevier
Due to the augmented rise of COVID-19, clinical specialists are looking for fast faultless
diagnosis strategies to restrict Covid spread while attempting to lessen the computational …
diagnosis strategies to restrict Covid spread while attempting to lessen the computational …