In this paper, an inventory of the landslide that occurred in Karahacılı at the end of 2019 was created and the pre-landslide conditions of the region were evaluated with traditional statistical and spatial data mining methods. The current orthophoto of the region was created by unmanned aerial vehicle (UAV). In this way, the landslide areas in the region were easily determined. According to this, it was determined that the areas affected by the landslides had an average slide of 26.56 m horizontally. The relationships among the topographic, hydrographic, and vegetative factors of the region were revealed using the Apriori algorithm. It was determined that the areas with low vegetation in the study area with 55% confidence were of a Strong Slope feature from the Apriori algorithm. In addition, the cluster distributions formed by these factors were determined by K-means. Among the five clusters created with K-means, it was determined that the study area was 38% in the southeast, had a Strong Slope, Low Vegetation, Non-Stream Line, and a slope less than 140 m. K-means results of the study were made with performance metrics. Average accuracy, recall, specificity, precision, and F-1 score were found as 0.77, 0.69, 0.84, and 0.73 respectively.

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Abstract Aim: Pregnancies complicated with diabetes are risky pregnancies with different maternal characteristics and increased maternal complications compared to the normal pregnant group. In this study, it is aimed to determine maternal characteristics and maternal complications in pregnant women with different glucose intolerance or blood glucose levels, and to compare them with the information in the literature and to investigate the effectiveness of our follow-up and treatment protocols. Material and Method: This study is carried out with 223 patients at Ümraniye Training and Research Hospital between May 2009 and March 2010. Group 1 in the study, normal glycemic group; Group 2, group with 1 value higher in 100 g oral glucose tolerance test (OGTT); Group 3, gestational diabetes mellitus (GDM), is the blood sugar regulated group; Group 4, the uncontrolled group diagnosed with GDM and whose blood sugar is not regulated; Group 5 consisted of patients with pregestational diabetes mellitus, with or without regulated blood sugar. Results: Considering the maternal characteristics, it is seen that the age, gravida, parity, body mass index (BMI) of Group 3, Group 4 and Group 5 patients are significantly higher than the patients in Group 1 and Group 2. The rates of preeclampsia, macrosomic baby and preterm birth are significantly higher in groups 4 and 5. In terms of delivery types, normal birth rate is high in Group 1, while cesarean section rates are high in Groups 4 and 5. According to the groups, the cases with a 1st minute apgar score less than 7 are significantly higher in Group 4 and Group 5. Conclusion: It is revealed that different glucose intolerances cause some problems in pregnancy, increase complications, and uncontrolled blood glucose levels increase these problems and complications. In pregestational and gestational periods; In such cases, it should be aimed and ensured that these problems and complications are reduced to the lowest possible level with appropriate diagnosis and treatment approaches.