GÜLCAN GENCER - Academia.edu (original) (raw)

Papers by GÜLCAN GENCER

Kocatepe tıp dergisi, Jul 8, 2023

Bu çalışmada, yapay zekanın (YZ) sağlık alanında hayatımızın ayrılmaz bir parçası haline gelmesi ... more Bu çalışmada, yapay zekanın (YZ) sağlık alanında hayatımızın ayrılmaz bir parçası haline gelmesi ile birlikte tıp öğrencilerinin yapay zeka teknolojileri ve yapay zekanın tıptaki uygulamaları konusunda algıladıkları hazır bulunuşlukları araştırılmıştır. GEREÇ VE YÖNTEM: Bu araştırma Afyonkarahisar Sağlık Bilimleri Üniversitesi'nde (AFSÜ) öğrenim gören 1-3. sınıf öğrencilerine uygulanmıştır. Çalışmaya katılmayı kabul eden 203 öğrenci örnekleme alınmıştır. Veriler araştırmacılar tarafından hazırlanan sosyodemografik form ve tıbbi yapay zeka hazır bulunuşluluk ölçeği ile toplanmıştır. Verilerin analizi R.4.3.2 ortamı kullanılarak yapılmıştır. BULGULAR: Çalışmada yer alan 203 öğrencinin 121'i (% 59,6) kız öğrenci, 82'si (% 40,4) erkek öğrencidir. Tıbbi yapay zeka bilişsel hazır bulunuşluluğunun erkek öğrencilerde, kız öğrencilere göre daha fazla olduğu ve bunun istatistiksel olarak anlamlı olduğu görülürken, bilişsel, öngörü ve etik hazır bulunuşluluklarında kız ve erkek öğrenciler arasında anlamlı farklılık bulunmamıştır. Ayrıca, öğrencilerin tıbbi yapay zeka bulunuşlulukları öğrencilerin sınıflarına göre önemli bir farklılık göstermemektedir. SONUÇ: Öğrenciler için yapay zeka teknolojileri ve uygulamaları konusunda algılanan hazır bulunuşluk düzeyleri değerlendirildiğinde, tıbbi yapay zeka hazır bulunuşluluk ölçeği'nin alt boyutlarında genel olarak puanların düşük olduğu görülmüştür. En düşük puana bilişsel alt boyut sahiptir. En yüksek puan ise etik hazır bulunuşlulukta görülmüştür. Sonuç olarak elde edilen bu puanlar, öğrenci ihtiyaçlarının değerlendirilmesinde ve tıp eğitiminde değerli bir müfredatın geliştirilmesi için bir araç olarak kullanılabilir.

Black sea journal of health science, Jul 10, 2024

HEALTH SCIENCES QUARTERLY

Trauma is a condition that affects the body’s structure and results from outside factors. After h... more Trauma is a condition that affects the body’s structure and results from outside factors. After heart disease and cancer, it is the most common cause of death across all age categories. For a variety of causes, people are routinely exposed to traumatic vertebral, thoracic pathologies and rib fractures. Ribs can be harmed by simple falls, impacts, and blunt injuries as well as broken due to car accidents and falling from a height. Magnetic resonance imaging or computed tomography are used to diagnose these fractures. In this study, non-linear complex methods were used to categorize gender and age by utilizing thoracic pathologies, fractures or cracks in the body as a result of traffic accidents or falling from a height, which have the feature of being a case in forensic issues. The most important data in the classification of gender and age were determined by Multivariate Adaptive Regression Spline (MARS) method. Although autopsy should be utilized in these situations, complex regres...

Research Square (Research Square), Dec 19, 2022

Objective: In this study, our aim was to divide the patients diagnosed with polycystic ovary synd... more Objective: In this study, our aim was to divide the patients diagnosed with polycystic ovary syndrome (PCOS) and Hashimoto's thyroiditis (HT) into subgroups according to different clinical and laboratory ndings. It is to investigate whether it will exacerbate it. Material and Methods: 46 PCOS patients and 46 PCOS patients diagnosed with HT were included in this study. A detailed medical history was taken from all participants. Polycystic ovary image was evaluated as below or above 10 ml and antral follicles were counted by transvaginal ultrasound. Insulin resistance of the patients was evaluated according to the fasting insulin (HOMA) index. Results: Insulin resistance was found to be associated with fasting insulin, HOMA index, body mass index and right ovarian volume in patients diagnosed with PCOS. Among the patients diagnosed with PCOS+HT, insulin resistance was found to be signi cantly correlated with fasting insulin, HOMA index, (BMI), (SHBG) and left ovarian volume. An increase in right ovarian volume was found in 37.5% of patients with PCOS without insulin resistance and in 76.3% of patients with insulin resistance. An increase in left ovarian volume was found in 35.7% of patients without insulin resistance diagnosed with PCOS+HT and in 68.8% of patients with insulin resistance. Conclusions: This study shows that in order to predict insulin resistance that causes long-term metabolic diseases, ovarian volume should be evaluated in every PCOS patient and all PCOS patients with increased ovarian volume should be investigated for insulin resistance. In addition, it has been observed that insulin resistance affects left ovarian volume in patients with PCOS+HT, while insulin resistance affects the volume of the right ovary more in patients with PCOS. At least one ovary has been found to be affected by long-term metabolic diseases.

BMC Women's Health

Objective In this study, patients were divided into two groups. Patients with polycystic ovary sy... more Objective In this study, patients were divided into two groups. Patients with polycystic ovary syndrome (PCOS) and patients with polycystic ovary syndrome + Hashimoto's Thyroid (PCOS + HT). The effect of insulin resistance on ovarian volume in patients divided into two groups and the change in ovarian volume with the addition of HT to PCOS will be investigated. Material and methods 46 PCOS patients and 46 PCOS patients diagnosed with HT were included in this study. A detailed medical history was taken from all participants. Polycystic ovary image was evaluated as below or above 10 ml and antral follicles were counted by transvaginal ultrasound. Insulin resistance of the patients was evaluated according to the fasting insulin (HOMA) index. Results Insulin resistance was found to be associated with fasting insulin, HOMA index, body mass index and right ovarian volume in patients diagnosed with PCOS. Among the patients diagnosed with PCOS + HT, insulin resistance was found to be si...

Journal of Medical Research and Surgery

Background: In our study, we aimed to examine the relationship between trauma-related thoracic ve... more Background: In our study, we aimed to examine the relationship between trauma-related thoracic vertebral fractures and/or rib fractures location, age and gender. Methods: Between January 1, 2020 and December 31, 2020, 100 patients with trauma-related thoracic vertebral fracture and/or rib fracture were included in the study. Rib fractures and thoracic vertebral fractures were analyzed according to age, gender, level and fracture type. The correlation between rib and vertebral fractures was investigated. Results: 72% of the patients were male and 28% were female, mean age was 48.49 ± 18.83. Thoracic vertebral corpus fractures were detected most frequently in T8 in 22 patients and in T1 in at least 1 patient. Spinous process fracture was found to be highest in T2 with 9 patients, and 1 patient each in T5, T6, and T12. Transverse processes fracture was seen in T9 with a maximum of 5 patients. Rib fractures were observed more frequently on the right. Displaced rib fractures were most co...

Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Dec 30, 2021

International Journal of Natural and Engineering Sciences, Apr 27, 2021

The health of the mother, who is an important member of our women and the family, is as important... more The health of the mother, who is an important member of our women and the family, is as important as herself, and the factors affecting the birth weight of the baby should be investigated when it is considered directly as the health of the child, that is, the society. We can list these factors as demographic, socioeconomic, medical and nutritional status. In this study, the variables affecting the birth weight of the baby were discussed in detail with regression analysis.

Paramedik ve Acil Sağlık Hizmetleri Dergisi, 2021

Clustering analysis is a multivariate statistical method used to determine whether a data set con... more Clustering analysis is a multivariate statistical method used to determine whether a data set contains different groups, and if so, to identify these groups. The clusters that can be obtained as a result of cluster analysis are expected to be as similar within themselves and as different among themselves. Clustering analysis is a method used in almost all scientific fields. It is a method that is used more extensively in science fields such as Medicine, Biology, Psychology, Sociology, Archeology where uncertainty conditions and complex formations exist. In this study, using 19 variables related to occupational accidents and diseases, provincial groups showing the same structures in 81 provinces were tried to be determined. Using the 2019 data published by the Social Security Institution (SSI), 81 provinces are divided into clusters according to occupational accidents and diseases. As a result of the analysis, the provinces with the best and worst conditions in terms of occupational accidents and diseases were revealed. It is aimed to clearly demonstrate the necessity of examining the source of the risk by determining the provinces with high risk in terms of work accidents and occupational diseases.

Sao Paulo Medical Journal, 2019

The number of older adults in the world is expanding rapidly as a consequence of increased qualit... more The number of older adults in the world is expanding rapidly as a consequence of increased quality of life and technological advances. 1,2 This demographic transition is increasing the prevalence of chronic-degenerative diseases. One of the consequences is higher consumption of medicines, which implies a great challenge for the healthcare system. 3 Given that use of several drugs is needed to treat the multimorbidity commonly seen in older adults, it can be expected that the prevalence of polypharmacy among older adults and the risk of drug interactions will increase substantially. 4 Drug interactions are a common cause of adverse drug reactions among older adults, and these include arrhythmias, acute kidney injury and increased risk of falls. 5-7 A direct correlation between the number of medications and their interactions and the risk of adverse drug reactions has been shown. 4-7 The reasons for this are multifactorial and particularly include age-related changes in the pharmacodynamics and pharmacokinetics of drugs, reduced renal function and lower hepatic clearance. 6-8 At hospital discharge, older adults generally present changes to their drug therapy, with higher numbers of prescribed medications, which leads to higher frequency of drug interactions. 8 Thus, it is essential to know the frequency of these interactions at hospital discharge among older people and their determinants, in order to promote safer use of drugs among older adults.

Happiness has been tried to be explained in many fields such as psychology, philosophy, sociology... more Happiness has been tried to be explained in many fields such as psychology, philosophy, sociology, biology, and religion. Due to the fact that the concept of happiness is constantly being updated in world, this study was obtained using data from the World Happiness Report (WHR) 2020 and the WHR 2021. By taking the life ladder dependent variable stated in the report, the variables related to the occurrence of happiness were analyzed using regression analysis of 8 variables. The world as it is known is grappling with the Coronavirus disease (Covid-19) pandemic. For all countries, it is inevitable that the restrictions, negativities or impossibilities brought by Covid-19 affect their unhappiness. For this reason, the years 2019 and 2020 were evaluated separately and we evaluated the factors affecting the life ladder of countries with regression analysis within the framework of Covid-19. As a result, it has been determined that the factors that make people happy, according to WHR, vary after the Covid-19 pandemic. The positive effect variable in the model in 2019 was separated from the model in 2020 and replaced by the variable of freedom to make life choices. ÖZ Psikoloji, felsefe, sosyoloji, biyoloji, din gibi birçok alanda mutluluk anlatılmaya çalışılmıştır. Dünyada mutluluk kavramının sürekli güncellenmesi nedeniyle bu çalışma Dünya Mutluluk Raporu (WHR) 2020 ve WHR 2021 verileri kullanılarak elde edilmiştir. Raporda belirtilen yaşam merdiveni bağımlı değişken olarak alınarak, mutluluk oluşumu 8 değişken ile regresyon analizi kullanılarak elde edilmiştir. Bilindiği gibi dünya Koronavirüs hastalığı (Covid-19) salgını ile boğuşmaktadır. Tüm ülkeler için Covid-19'un getirmiş olduğu kısıtlamaların, olumsuzlukların Article History

In this study, it is considered the problem of comparing the performances of the Maximum Likeliho... more In this study, it is considered the problem of comparing the performances of the Maximum Likelihood (ML) and Bayes estimators under symmetric and asymmetric loss function for the unknown parameters of Weibull distribution. ML estimators are computed by using the Newton Raphson method. Bayesian estimations under Squared, Linex and General Entropy loss functions by using Jeffrey’s extension prior are introduced with Tierney Kadane approximation for Weibull distribution. For different sample sizes, estimators are compared to obtain the best estimator in terms of mean squared errors using a Monte Carlo simulation study.

Paramedik ve Acil Sağlık Hizmetleri Dergisi

Cumhuriyet Science Journal

Sakarya University Journal of Science