2022 - Cilt 4 - Sayı 3
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Öğe Classification of covid-19 omicron variant using hybrid deep transfer learning based on x-ray chest images(Altınbaş Üniversitesi, 2022) Al-Jumaili, SaifIn 2019, the first case of COVID-19 was announced in China in Wuhan Province. Which led to the panic of the world and the declaration of a state of extreme emergency by the World Health Organization. Given that the world was in a state of crisis and closure, the use of deep learning technology provides speed and accuracy in diagnosing disease through chest images. Therefore, in this study, the dental X-Ray images of people infected with the omicron strain of Covid-19 virus were classified in comparison with a group of healthy people. In this study, we used 4 types of pre-trained deep learning algorithms in two ways, the first is using cross-validation and the second is the hybrid method by extracting the features from the models and then applying them to two types of deep learning algorithms (SVM and KNN). Accuracy results were obtained in the first scenario with a percentage of 94%, while in the second scenario, the accuracy results in the SVM classifier are higher than KNN with a difference of 5%, which is 92%. We also compared studies that used X-Ray images to classify COVID-19, as our results showed a clear superiority compared to other studies.Öğe Explanation of mortality rates with socio-economic indicators(Altınbaş Üniversitesi, 2022) Barun, Merve Nur; Korkmaz, İlaydaThis study aims to examine the relationship between death rates and socioeconomic variables and to develop policy recommendations to reduce mortality rates. Therefore, the variables of maternal mortality rate, crude mortality rate, and infant mortality rate are explained with real health expenditures per capita, number of nurse midwives, total health expenditures, number of physicians, and number of hospitals. The most recent data available between 2002 and 2019 are used in the article. Data are taken from health statistics annually. While three different mortality rates are considered as dependent variables in the study, five different variables indicating socioeconomic status are used as independent variables. Since more than one dependent and independent variable is used, canonical correlation analysis is preferred as the method. In the results of the analysis, it has been revealed that there is a high relationship between maternal mortality rate, infant mortality rate, crude death rate, and the number of hospitals, the number of nurses-midwives, the number of physicians, total health expenditures and per capita health expenditures. According to this, it is important to increase health awareness, increase the quality of health services in society, and facilitate access to health services. In addition, it is recommended to increase the number of health workers, improve health literacy in society and increase investments in the field of health.Öğe Health 4.0.and health 4.0 technology applications(Altınbaş Üniversitesi, 2022) Oduncu, FulyaHealth 4.0, which has developed with Industry 4.0, has started to become extremely important in terms of the health sector and health management. Today, health institutions that do not implement Health 4.0 technology applications are lagging behind in the field of health. Now, patients who receive or want to receive health services attach importance to the technologies used by the health institutions they will receive service from and prefer health institutions that have these technologies. It would be a correct approach to talk about a customer portfolio that is aware of the existence of technologies related to health care and uses them. For this reason, in our study, Industry 4.0 and previous industrial revolutions, which contributed to the emergence of Health 4.0, were mentioned first, and then Health 4.0 and, of course, previous health revolutions related to health were continued. Then, the Health 4.0 technology applications in the Health 4.0 period, which are more used, are explained, and finally, Society 5.0, which has started to become widespread today and is foreseen to exist in the future, is explained and our study is concluded by explaining how it is already integrated into the health field.Öğe Brown/beige adipose tissue : novel players in the fight against obesity(Altınbaş Üniversitesi, 2022) Bağcı, Gökhan; Çıbık, Sara; Ökten, HaticeObesity is a metabolic disease which its prevalence is increasing worldwide. Multidisciplinary strategies are required to combat obesity. Many methods, from diet to surgery, are tried in obesity treatment. However, these methods have not been successful enough in the treatment of obesity. In recent years, a new adipose tissue type has been mentioned, with very important developments in adipose tissue biology. This type of adipose tissue is named as beige adipose tissue, different from white adipose tissue and classical brown adipose tissue. It has been observed that the beige adipocytes have a Brown-like characteristic and have thermogenesis abilities. It has been shown that beige adipocytes can develop in the white adipose tissue by a mechanism called browning, with the effect of various stimuli such as cold, hormones, exercise and dietary compounds. Brown/beige adipocytes are a candidate to be a new generation weight loss strategy and it is likely to have benefits against both obesity and its related metabolic diseases such as insulin resistance, diabetes, etc. To date, an increasing number of studies have been carried out to combat obesity by inducing browning of WAT by trying many compounds or methods, including cold exposure, various drugs, hormones, and plant-based agents. With the use of new generation nanotechnology-based therapies in the near future, specific molecules that can directly bind to brown/beige fat cells and activate the thermogenic program will be able to treat obesity. However, the therapeutic use of browning agents in people with obesity in the coming years will depend on the outcome of further randomised controlled trials.
