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Öğe CATEGORICAL REGRESSION ANALYSIS WITH MEDICAL APPLICATION(PUSHPA PUBLISHING HOUSE, 2019) Simsek, Necip; Bagdatli, Seda; Kirisci, MuratIn this study, for the birth weight, a novel system based on categorical regression is proposed. Factors affecting birth weight of newborn are examined with categorical regression. The main purpose of the model development is to examine the causal relationship between independent and dependent variables. It is believed that the prepared Categorical Regression Analysis system may be useful for physicians to make decisions about the factors affecting the birth weight of babies during pregnancies. The results show that categorical regression analysis system based on a learning method can assist in the prediction of birth weight.Öğe Fixed point results for a new metric space(WILEY, 2020) Kirisci, Murat; Simsek, Necip; Akyigit, MahmutIn this paper, we introduce the neutrosophic contractive and neutrosophic mapping. We establish some results on fixed points of a neutrosophic mapping.Öğe FIXED POINT THEOREMS IN NEUTROSOPHIC METRIC SPACES(YILDIZ TECHNICAL UNIV, 2019) Simsek, Necip; Kirisci, MuratIn this paper, we introduce the neutrosophic cantractive and neutrosophic mapping. We establish some results on fixed points of a neutrosophic mapping.Öğe NEUTROSOPHIC SOFT SETS WITH MEDICAL DECISIN-MAKING APPLICATIONS(YILDIZ TECHNICAL UNIV, 2019) Kirisci, Murat; Simsek, NecipIn this study, we apply neutrosophic soft set theory through Maji's approach for medical decision making. The problem is to choose patient people with the variables used for T2DM diagnosis. A comparison matrix will be obtained for this selection and the maximum score will be reached with this matrix.