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Toplam kayıt 14, listelenen: 1-10
COVID-19 pandemisinde hekim ve hemşirelerde mobbing ve tükenmişlik: Tekirdağ'da bir üniversite hastanesi örneği
(Tekirdağ Namık Kemal Üniversitesi, 2022)
Bu çalışmanın amacı Tekirdağ ilinde bulunan bir üniversite hastanesinde hizmet veren hekim ve hemşirelerin COVID-19 döneminde mobbing algısı, tükenmişlik düzeyi ve etkileyen faktörleri belirlemek amacıyla gerçekleştirilmiştir. ...
Impact of the COVID-19 lockdowns on electricity and natural gas consumption in the different industrial zones and forecasting consumption amounts: Turkey case study
(Elsevier Ltd, 2022)
The COVID-19 lockdowns have adversely affected the national economies and caused fluctuations in the energy industry. This study examined how the lockdowns during the COVID-19 pandemic affected the amount of electricity ...
The machine learning approach for predicting the number of intensive care, intubated patients and death: The COVID-19 pandemic in Turkey
(Yildiz Technical Univ, 2022)
The coronavirus infection outbreak started in Wuhan city, China, in December 2019 (COVID-19) and affected more than 200 countries in a year. The number of patients dying from and infected with COVID-19 is increasing at an ...
Experiences of health professionals diagnosed with COVID-19 in coping with the disease
(John Wiley and Sons Inc, 2022)
Aim: This study evaluates the experiences of health professionals diagnosed with Coronavirus Disease 2019 (COVID-19) in coping with the disease. Background: During the COVID-19 pandemic, health professionals faced various ...
Patients with hematologic cancers are more vulnerable to COVID-19 compared to patients with solid cancers
(Springer-Verlag Italia Srl, 2022)
Previous studies reported that COVID-19 patients with cancer had higher rates of severe events such as intensive care unit (ICU) admission, mechanical ventilation (MV) assistance, and death during the COVID-19 course ...
Computer-Aided Detection of COVID-19 from CT Images Based on Gaussian Mixture Model and Kernel Support Vector Machines Classifier
(Springer Science and Business Media Deutschland GmbH, 2022)
COVID-19 is a virus that has been declared an epidemic by the world health organization and causes more than 2 million deaths in the world. To achieve this, computer-aided automatic diagnosis systems are created on medical ...
A novel combined index of D-dimer, fibrinogen, albumin, and platelet (FDAPR) as mortality predictor of COVID-19
(Wolters Kluwer Medknow Publications, 2022)
Background: In coronavirus disease 2019 (COVID-19) caused by SARSCoV2 viruses, coagulation abnormalities are strongly correlated between disease severity and mortality risk. Aims: The aim was to search for new indices to ...
8-14 Yaş Grubu Çocukların COVID-19 Pandemi Döneminde Sağlıkla İlgili Yaşam Kalitelerinin ve Etkileyen Faktörlerin Belirlenmesi
(2022)
Amaç: Araştırmada çocukların pandemi döneminde sağlıkla ilgili yaşam kalitesi düzeyleri ve ilişkili faktörlerin belirlenmesi amaçlanmıştır.Materyal ve Metot: Kesitsel tasarım tipindeki araştırma üç ayrı ilde belirlenen ...
COVID-19'u hafif geçirmiş kişilerde bilişsel fonksiyonlarınserum BDNF düzeyleri ile ilişkisi
(Tekirdağ Namık Kemal Üniversitesi, 2022)
Koronavirüs Hastalığı 2019 (COVID-19) pandemik bir hastalık olup, hastalığın uzun vadeli sonuçları ile ilgili literatür bilgileri halen kısıtlıdır. Son zamanlarda hastalığın uzun vadede bilişsel fonksiyonlara olan etkileri ...
A new approach for determining SARS-CoV-2 epitopes using machine learning-based in silico methods
(Elsevier Ltd, 2022)
The emergence of machine learning-based in silico tools has enabled rapid and high-quality predictions in the biomedical field. In the COVID-19 pandemic, machine learning methods have been used in many topics such as ...