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Toplam kayıt 18, listelenen: 1-10
MTU-COVNet: A hybrid methodology for diagnosing the COVID-19 pneumonia with optimized features from multi-net
(Elsevier, 2022)
COVID-19PneumoniaArtificial intelligence (AI)Deep learningComputed tomography (CT)
Leukocyte albumin ratio as an early predictor of mortality in critical COVID-19 patients
(Bayrakol Medıcal Publisher, 2022)
Aim: The aim of this study is to analyze the effectiveness of the leukocyte albumin ratio (LAR) in predicting mortality in critical COVID-19 patients. Material and Methods: In this retrospectively-designed study, we evaluated ...
Impact of the COVID-19 lockdown period on surface water quality in the Meriç-Ergene River Basin, Northwest Turkey
(Elsevier, 2021)
The surface water resources in the Meriç-Ergene River Basin, especially Ergene River and Çorlu Stream are among the most polluted rivers in Turkey. Despite the action plans for prevention and control of surface water ...
MTU-COVNet: A hybrid methodology for diagnosing the COVID-19 pneumonia with optimized features from multi-net
(elsevier, 2022)
Purpose
The aim of this study was to establish and evaluate a fully automatic deep learning system for the diagnosis of COVID-19 using thoracic computed tomography (CT).
Materials and methods
In this retrospective study, ...
Determining the relationship between loneliness and depression in adolescents during the COVID-19 pandemic: A cross-sectional survey
(Wiley, 2022)
Purpose: The aim of the present study is to determine the relationship between loneliness and depression felt by adolescents during the COVID-19 pandemic. Design and Methods: The study sample consisted of 423 adolescents ...
Socio-Economic, Demographic and Health Determinants of the COVID-19 Outbreak
(MDPI, 2022)
Objective: In this study, the effects of social and health indicators affecting the number of cases and deaths of the COVID-19 pandemic were examined. For the determinants of the number of cases and deaths, four models ...
Evaluation of neurological disorders that develop concurrently with COVID-19 pneumonia: a retrospective analysis
(Associacao Arquivos de Neuro-Psiquiatria Dr. Oswaldo Lange / Associação Arquivos de Neuropsiquiatria Dr Oswaldo Lange, 2022)
Background: During the pandemic, many neurological symptoms have been evaluated as complications of COVID-19 pneumonia. Objective: To investigate the frequency and characteristics of neurological findings, and their effects ...
Can copeptin predict the severity of coronavirus disease 2019 infection?
(Associação Médica Brasileira, 2021)
Objetive: Coronavirus disease 2019 (COVID-19) has quickly turned into a health problem globally. Early and effective predictors of disease severity are needed to improve the management of the patients affected with COVID-19. ...
COVID-CCD-Net: COVID-19 and colon cancer diagnosis system with optimized CNN hyperparameters using gradient-based optimizer
(Malatya Turgut Özal Üniversitesi, 2022)
Coronavirus disease-2019 (COVID-19) is a new types of coronavirus which have turned into a pandemic within a short time. Reverse transcription-polymerase chain reaction (RT-PCR) test is used for the diagnosis of COVID-19 ...
Assessment of the frequency and biochemical parameters of conjunctivitis in COVID-19 and other viral and bacterial conditions
(De Gruyter, 2020)
Objectives
We compared the laboratory and clinical symptoms of coronavirus disease 2019 (COVID-19), other viral (beside COVID-19), and bacterial conjunctivitis patients with the values of controls.
Methods
Twenty ...