Inteligent Informatization Technology Research Of Traditional Chinese Medicine Diagnosis Based On Data Mining

Mass medical records have been existed in Traditional Chinese Medicine (TCM) field. Valuable knowledge is hidden in those medical records. Network and digital transformation of medical data make it inapplicable to process those data by man-work. Data mining technology is an effective tool using artificial intelligence to do this. Analysing TCM data and finding medical knowledge (just like the rule of disease, symptom, syndrome, cure, etc) are the difficulties of medical data mining field. In this paper, data mining technology is used to analysis TCM asthma medical records. The destination is to extract main symptoms of asthma firstly, then find the rules of TCM compatible regularity and discover the associations between TCM and symptom, later find the matching law between symptoms and syndromes. TCM medical records data mining system is designed finally. Works are the above four aspects:1) MIBARK algorithm based on attribute importance is used to extract main symptoms of asthma at data stage.2) At data mining stage,an improved algorithm for Apriori based on bit string operation(Apriori-BSO algorithm) is presented and applied in finding the associations (the rules of TCM compatible regularity and the associations between TCM and symptoms) in TCM asthma medical record,and this paper makes comparative analysis.3) An improved algorithm for BP based on competition learning and auto-learning rate (CAL-BP algorithm) is presented and applied in finding the matching law between symptoms and syndromes,and this paper makes comparative analysis.4) TCM medical records data mining system with medical record management module and data mining module is designed at last.