| Summary: | 碩士 === 國立屏東科技大學 === 資訊管理系 === 94 === Lots of knowledge hidden in the data can be found out by using the technology of data mining. Regrets, huge disordered data causes big difficulity in data mining, and the inconsistent information is apt to cause many mistakes in data analysis. Compred to the methods of traditional medical statistic analysis, this research has big differences, due clinical information as a mining target has been used. In order to maintain the accuracy of the rules of data classification, BPN neural network and Association Rules are combined into this research as data mining classification and predictable instruments. To find out the connections from the huge data between the laboratory information and doctor’s diagnosis, and the hidden knowledge in the lab information can be used as a base of Decesion Support System, as a reference of beside clinical diagnosis, and providing medical message for the doctor’s to execute diagnosis exams. Furthermore, can remind the lab staffs to notice the doctors earlier as soon as they find a unusual or abnormal values while they fill the reports in order that the patients can be cared at the first time. Finally the medical care quality can be reached to a ideal situation.
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