Advanced computer science is very important in applied medicine, we have several publications regarding use of data mining computing technology in many clinical fields, here we will present to our experience in gastroenterology and surgery using data mining in obesity related gastrointestinal motility disorder;(IBS) and surgical bariatric approaches .Obesity is a chronic disease that is increasing in prevalence worldwide, data from United States and those from other countries are indicative of a major international epidemic, a steady and distressing increase worldwide, whatever numbers of large epidemiologic studies have evaluated the relationship between obesity and several morbidities. Obesity –related-morbidities are common diseases affecting population. Irritable bowel syndrome (IBS) is a common gastrointestinal disorder with special concern for those with comorbid or morbid obesity, characterized by chronic or recurrent abdominal pain with constipation, diarrhea and/or an alternation of the two, and often bloating. Patients often use manipulation of diet as a mean of controlling symptoms. Adopting a healthy lifestyle, one that includes not smoking or drinking excess alcohol, eating right, daily physical activity, and a healthy weight, is associated with improving IBS-related morbidities. Bariatric surgery would be the clue therapy if diet and medical therapies fail. Novel El Banna techniques are bariatric maneuvers succefuly performed to those with morbid or comorbid obesity in more than 200 patients. Although data mining is very common applicable method in economy and global trade, it is not fully known by most of physicians and surgeons worldwide, for its limited use in applicable medicine. To our knowledge ,there is no previous studies can evaluated such a relationship between IBS and BMI using Data mining computing analysis, also we used data mining to compare both El-Banna bariatric techniques, to look for the best leading factors in both El Bannabar