Design And Implementation Of An ATMS-based Composite Computer-aided Diagnostic System For The Spleen Feebleness

At first, the concept of Data Mining, the theories of Support Vector Machine (SVM), the theories of association rules mining, the concept of nonmonotonic reasoning and the theory of ATMS are introduced. Then, a SVM-based mathematical model is produced, and ATMS-based association rules mining approaches are designed which can be used for data mining, rule querying and rule evolvement. Then, based on the two techniques mentioned above, a composite computer-aided diagnostic system for the Spleen Feebleness is implemented, which shows good effects in the subsequent tests. Finally a summary and an expectation are made for the method integrating the SVM with ATMS-based association rules mining.