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A particle swarm optimization approach for predicting the number of COVID-19 deaths
(
Nature Research
, 2021 , Article)
The rapid spread of the COVID-19 pandemic has raised huge concerns about the prospect of a major health disaster that would result in a huge number of deaths. This anxiety was largely fueled by the fact that the severe ...
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to ...
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
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Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ...
Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning
(
MDPI
, 2022 , Article)
With the onset of the COVID-19 pandemic, the number of critically sick patients in intensive care units (ICUs) has increased worldwide, putting a burden on ICUs. Early prediction of ICU requirement is crucial for efficient ...
Case Study of Multi-Course Project-Based Learning and Online Assessment in Electrical Engineering Courses during COVID-19 Pandemic
(
MDPI
, 2022 , Article)
Due to the COVID-19 pandemic, there was an urgent need to move to online teaching and develop innovative teaching techniques to ensure that student learning outcomes (SOs) were fulfilled. This paper tries to answer the ...
A qualitative assessment of medical students’ readiness for virtual clerkships at a Qatari university during the COVID-19 pandemic
(
Springer Nature
, 2023 , Article)
Background: This study aims to qualitatively examine the readiness of medical students to change to virtual clerkship (VC) during the pandemic, from both the faculty and students’ perspectives. Methods: A qualitative study ...
DL-CRC: Deep learning-based chest radiograph classification for covid-19 detection: A novel approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
With the exponentially growing COVID-19 (coronavirus disease 2019) pandemic, clinicians continue to seek accurate and rapid diagnosis methods in addition to virus and antibody testing modalities. Because radiographs such ...
Anticoagulation clinic drive-up service during COVID-19 pandemic in Qatar
(
Springer
, 2021 , Article)
Coronavirus Disease 2019 (COVID-19) is a pandemic affecting many countries worldwide. Given the increasing incidence especially in elderly and individuals with comorbid conditions, it is advised by health authorities to ...
Sickness absenteeism among primary health care workers in Qatar before and during the COVID-19 pandemic
(
BioMed Central Ltd
, 2023 , Article)
Objectives: To explore the patterns, trends, nature, and extent of changes in sickness absence among health care workers (HCWs) at the Primary Health Care Corporation (PHCC) in Qatar-during the COVID-19 pandemic compared ...
The COVID-19 experience of orthodontists in Jordan
(
Medknow Publications
, 2023 , Article)
OBJECTIVES: To understand the impact of the COVID-19 pandemic on orthodontic clinical services in Jordan. MATERIALS AND METHODS: Google Forms electronic questionnaires were distributed between March and June 2021 using the ...