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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)
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 ...
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 ...
Neonatal Outcomes of Pregnant Women With Confirmed Coronavirus Disease 2019: One-Year Experience of a Tertiary Care Center
(Sage Journals, 2022)
The coronavirus disease 2019 (COVID-19) pandemic became an important public health problem affecting all age
groups. The aim of this study was to evaluate clinical and laboratory findings of newborns born to mothers with ...