Utilization of the Apriori Data Mining method in a research software with electronic protocol in Enteral Nutrition

The aims this paper is to display the apriori data mining method results implanted in SINPE© (Electronic Protocols Integrated System) in an Enteral Nutrition research. We developed the data mining in the SINPE and later the items body mass index (BMI or IMC) and Enteral diet were selected from the database of the Homecare Enteral Nutrition Research. The parameters used were 10% support and 50% confidence. The Apriori generated a rule showing that patients with BMI ¿ 22 kg/m2 implied the intake of a homemade diet. The application of the apriori data mining method shows itself more dynamic, allowing the data intersection, and helping on decisions and on the elaboration of diagnostics as well as on diet prescriptions, checking the possible relationships between the analyzed items.