Abstract: The definition of the data mining can be told as to extract information or knowledge from large volumes of data. One of the main challenging area of data mining is classification. There are so many different classification algorithm in literature ranging from statistical based to artificial intelligence based. This study make use of Waikato Environment for Knowledge Analysis or in short, WEKA to compare the different classification techniques on different medical datasets. 23 different classification techniques were applied to three different medical datasets namely EEG Eye State, Fertility and Thoracic Surgery Medical Datasets that were taken from UCI Machine Learning Repository. The results showed that Multilayer Perceptron (MLP) had highest accuracy for Fertility Dataset (90%), three different techniques namely Bagging, Dagging and Grading had highest and same accuracies for Thoracic Surgery Data Set (85.1064%) and finally Kstar had highest accuracy for EEG Eye State Dataset (96.775

• Publication Date: 11-Dec-2015
• DOI: 10.15224/978-1-63248-078-1-118
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Abstract: Stomach polyps are sessile or stalked lesions originating from stomach epithelial or submucosa and protruding to lumen.Observation rate of stomach polys during endoscopic procedures is 2-6%. It is known that these are asmptomatic and also cause bleeding anemia, abdominal pain gstricoutlet obstruction. The most common polyps in the stomach are reported as hyperplastic polyps and hazelnuts gland polyps. In this study, a system has been designed for the detection of stomach polyps using image procesing techniques from the endoscopy images of Gastroenterology clinic patients in Selcuk University Faculty of Medicine Hospital.

• Publication Date: 11-Dec-2015
• DOI: 10.15224/978-1-63248-078-1-117
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