Person: BOŞAT, MERVE
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ASSESSMENT OF KNOWLEDGE AND ATTITUDES TOWARD COMPLEMENTARY AND ALTERNATIVE MEDICINE (CAM) AMONGST TURKISH MEDICAL FACULTY STUDENTS
Background: Complementary and Alternative Medicine (CAM) therapies are becoming increasingly acceptable to the general public and are increasingly used around the world. The international rise in focus on CAM and the increased incorporation of CAM into medical curricula make it important to gain insight into the knowledge and attitudes of medical students about CAM and its integration in the medical curriculum.
SAĞLIK HİZMETLERİNDE ARTIRILMIŞ GERÇEKLİK UYGULAMALARI: LİTERATÜR TARAMASI
The role of elastography in the assessment of chronic liver disease in children
Background: Conventional ultrasonography is a method preferred for the investigation of chronic liver diseases in pediatric groups, as it is non-invasive, cheap, feasible and available. The purpose of this study is to present the role of Share-wave Elastography (SWE) in terms of diagnostic value in children diagnosed with -chronic liver disease.-
A novel survival algorithm in COVID-19 intensive care patients: the classification and regression tree (CRT) method
Background/aim: The present study aimed to create a decision tree for the identification of clinical, laboratory and radiological data of individuals with COVID-19 diagnosis or suspicion of Covid-19 in the Intensive Care Units of a Training and Research Hospital of the Ministry of Health on the European side of the city of Istanbul. Materials and methods: The present study, which had a retrospective and sectional design, covered all the 97 patients treated with Covid-19 diagnosis or suspicion of COVID-19 in the intensive care unit between 12 March and 30 April 2020. In all cases who had symptoms admitted to the COVID-19 clinic, nasal swab samples were taken and thoracic CT was performed when considered necessary by the physician, radiological findings were interpreted, clinical and laboratory data were included to create the decision tree. Results: A total of 61 (21 women, 40 men) of the cases included in the study died, and 36 were discharged with a cure from the intensive care process. By using the decision tree algorithm created in this study, dead cases will be predicted at a rate of 95%, and those who survive will be predicted at a rate of 81%. The overall accuracy rate of the model was found at 90%. Conclusions: There were no differences in terms of gender between dead and live patients. Those who died were older, had lower MON, MPV, and had higher D-Dimer values than those who survived.
SAĞLIK HİZMETLERİNDE ARTIRILMIŞ GERÇEKLİK UYGULAMALARI: LİTERATÜR TARAMASI
RT-PCR and Thoracic CT Compliance in COVID-19 Diagnosis: Decision Tree in PCR Negative Cases
Assessment of Knowledge, Behaviour and Sun Protection Practices among Health Services Vocational School Students
There has been a significant increase in the cases of skin cancer throughout the world in the last few decades. Although the mortality rate of skin cancer is relatively low, its impact on other health aspects is high and the treatment of undesired aesthetic damage is costly. According to disability-adjusted life year rates (DALY), 1.5 million days are estimated to be lost from people-s lives every year worldwide due to ultraviolet (UV) radiation. The purpose of this study was to raise sun health awareness levels among health services vocational school students. A total of 414 students were included in the analysis. A questionnaire form was used to evaluate knowledge, attitudes and behaviours among the survey sample. The average level of knowledge concerning the effects of the sun was found to be 8.64 +/- 2.5 out of 15 points. All socio-demographic factors were analysed, but the only significant variables found were age and the possible presence of skin cancer within the immediate family (p < 0.05).