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Yazar "Yilmaz, B." seçeneğine göre listele

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    Classification of pressure ulcer images with logistic regression
    (Institute of Electrical and Electronics Engineers Inc., 2021) Yilmaz, B.; Atagun, E.; Demircan, F. O.; Yucedag, I.
    Pressure ulcers are wounds caused by prolonged lying in bedridden patients. This has become an important health problem in many countries. Correct diagnosis of pressure ulcers is very important for an effective treatment method. The characteristics of these wounds are effective in terms of seeing the healing. Interventional methods of obtaining information in the diagnosis of pressure ulcers are painful for patients. In addition, these methods can increase the risk of infection. Therefore, imaging systems such as nonsurgical wound tracking techniques allow accurate analysis of the features of the wound without contact with it. The aim of this study is to prevent wound formation or to make a positive contribution to the treatment processes by using machine learning techniques in image analysis for the classification of pressure ulcers. In this study, 142 wound images were analyzed by Logistic Regression and Artificial Neural Networks methods. Features such as wound color and size in these images were separated by image processing and the stage of the wound was determined from the images. The 6 stages of pressure ulcers are referenced for classification. © 2021 IEEE.
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    The Effect of Volleyball Training on Trait Anxiety Levels of 9-12 Ages Female Students
    (Nevzat Demirci, 2023) Görün, L.; Alper, R.; Yilmaz, B.
    The aim of this study is to determine the impact of volleyball education on the levels of trait anxiety of 9-12-year-old female students. The sample of the study is a group of 9-12-year-old girls from the Düzce Volleyball Youth and Sports Club in 2021-2022, who have just begun the sport. In total, 37 female students volunteered to participate in the study. This study is the single group pretest-posttest model, which is one of the pre-experimental models. As a data collection tool, trait anxiety Scale (CKDSE) is used developed by Spielberger (1973) to measure individual differences in children's anxiety and is the lower scale of children's State-constant anxiety inventory. As an analysis method, the Wilcoxon Signed Ranks Test was used to compare two associated samples. When the findings are analyzed, it is understood that there is a significant difference between the pre-test scores for trait anxiety and the final test scores for trait anxiety for girls attending volleyball training (p<.05). The results of the study are important to guide families and coaches. © The Author(s) 2023.

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