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السجلات المعروضة 11 -- 20 من 50
Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram
(
Elsevier
, 2021 , Article)
ObjectiveTo rapidly exclude severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using artificial intelligence applied to the electrocardiogram (ECG). MethodsA global, volunteer consortium from 4 continents ...
Cancer Services During the COVID-19 Pandemic : Systematic Review of Patient's and Caregiver's Experiences
(
medRxiv
, 2021 , Article)
Purpose: Cancer patients have faced intersecting crises during the COVID-19 pandemic.
This review aimed to examine patients’ and caregivers’ experiences of accessing cancer
services during the pandemic and its perceived ...
Efficacy of chloroquine and hydroxychloroquine in treating COVID-19 infection: A meta-review of systematic reviews and an updated meta-analysis
(
Elsevier
, 2021 , Article)
To synthesize findings from systematic reviews and meta-analyses on the efficacy and safety of chloroquine (CQ) and hydroxychloroquine (HCQ) with or without Azithromycin for treating COVID-19, and to update the evidence ...
معالجة الصحافة الإلكترونية اليمنية لجائحة كورونا: دراسة تحليلية
(2021 , Article)
سعت هذه الدراسة إلى تقصي أساليب تعاطي الصحافة اليمنية الإلكترونية مع جائحة كورونا (كوفيد-19)، وذلك بالتطبيق على أربعة مواقع إلكترونية، تمثل أهم القوى السياسية الفاعلة على الساحة اليمنية، هي: الثورة نت بنسختيها الصادرتين ...
An evidence base for school health policy during the covid-19 pandemic
(
Paris Scholar Publishing
, 2021 , Article)
Objective: Children represent a small fraction of confirmed COVID-19 cases, with a low case fatality rate (CFR). In this paper, we lay out an evidence-based policy for reopening schools. Methods: We gathered age-specific ...
COVID-19 lesion segmentation using lung CT scan images: Comparative study based on active contour models
(
MDPI
, 2021 , Article)
Pneumonia is a lung infection that threatens all age groups. In this paper, we use CT scans to investigate the effectiveness of active contour models (ACMs) for segmentation of pneumonia caused by the Coronavirus disease ...
Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique
(
MDPI
, 2021 , Article)
Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and ...
Cancer services during the covid-19 pandemic: Systematic review of patient's and caregiver's experiences
(
Dove Medical Press Ltd
, 2021 , Article)
Purpose: Cancer patients have faced intersecting crises during the COVID-19 pandemic. This review aimed to examine patients and caregivers experiences of accessing cancer services during the pandemic and its perceived ...
COVID-19 infection localization and severity grading from chest X-ray images
(
Elsevier Ltd
, 2021 , Article)
The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ...
Exploring the interaction of quercetin-3-O-sophoroside with SARS-CoV-2 main proteins by theoretical studies: A probable prelude to control some variants of coronavirus including Delta
(
Elsevier B.V.
, 2021 , Article)
The aim of this study was to investigate the mechanism of interaction between quercetin-3-O-sophoroside and different SARS-CoV-2?s proteins which can bring some useful details about the control of different variants of ...