Appendicitis diagnosis system using fuzzy logic- and neural network-based classifier

Clinical repositories containing large amounts of biological, clinical, and administrative data are increasingly becoming available as healthcare systems integrate patient information for research and utilisation objectives. Data mining techniques can be used to discover useful patterns by exploring and analysing clinical repositories. It is feasible to incorporate data mining techniques into the classification process to discover useful patterns for classification rules from training samples. This paper thus assess the role of the data mining techniques namely fuzzy logic-based classifier and a back propagation-based neural networks in the diagnosis of severity of appendicitis in patients presenting with right iliac fossa (RIF) pain. It is based on the statistics already collected about the presence of appendicitis from patients dataset of around 2,230 datasets collected from BHEL Hospital, Tiruchirappalli. The conclusion is that neuro fuzzy logic-based classifiers can be used an effective tool for accur...