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    Determination of body fat percentage by electrocardiography signal with gender based artificial intelligence
    (Elsevier Sci Ltd, 2021) Ucar, Muhammed Kursad; Ucar, Zeliha; Ucar, Kubra; Akman, Mehmet; Bozkurt, Mehmet Recep
    Background and purpose: Body fat percentage (BFP) is a frequently used parameter in the assessment of body composition. The body is made up of fat, muscle and lean body tissues. Excess fat tissue in the body causes obesity. Obesity is a treatable disease that decreases the quality of life. Obesity can trigger ailments such as psychological disorders, cardiovascular diseases and respiratory and digestive problems. Dual energy X-ray absorptiometry gold standard method is laborious, costly and time consuming. For this reason, more practical methods are needed. The aim of this study is to develop BFP prediction models with gender-based electrocardiography (ECG) signal and machine learning methods. Methods: In the study, 25 features were extracted from seven different QRS bands and filtered and unfiltered ECG signals. In addition, age, height and weight were used as features. Spearman feature selection algorithm was used to increase the performance. Results: The BFP prediction models developed have performance values of R = 0.94 for men and R = 0.93 for women and R = 0.91 for all individuals. Feature selection algorithm helped increase performance. Conclusion
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    Mediterranean Type Diet Protects Adult Individual From Diabetes
    (Mattioli 1885, 2021) Ucar, Zeliha; Akman, Mehmet
    Objective: As one of the sustainable diets, the Mediterranean Diet (MD) is one of the healthiest diets in the world. The aim of this study is to determine the effect of MD, which is one of the dietary models supporting healthy nutrition, on biochemical parameters in adult individuals. MD supports healthy life and is important in preventing chronic diseases. Methods: study was conducted with a total of 122 individuals between the ages of 18-64 who applied to Sakarya University Healthy Nutrition / Obesity Counseling Unit between September 2019 and February 2020. The data were collected by face-to-face interview technique. Collected data are; demographic information, Mediterranean diet compliance scale survey, and biochemical parameters. Results: According to the results obtained, the erythrocyte and fasting insulin in individuals were found to be significant with the Mediterranean diet compliance (p <0.05). Homeostatic Model Assessment-Insulin Resistance (HOMA-IR) and fasting insulin were found to be significant with Mediterranean diet compliance in the analyzes performed for women (p <0.05). Conclusion: As a result; The findings obtained from this study showed that the Mediterranean diet reduced the risk of macro and micro complications caused by Diabetes Mellitus.