CAJ | 학술논문

肺结核病具有发病率高、危害严重、消耗医疗资源大的特点。因病情程度和并发症等差异，其住院费用的差别也较大。本文利用数据挖掘技术，针对南京市胸科医院信息系统中所积累的医疗病历数据及病人医疗费用数据，构建了相应的病人医疗费用数据库。采用决策树、神经网络等数据挖掘方法，对肺结核单病种医疗费用数据进行分析、处理，建立了用3层10分类的决策树表示的费用模型，比较客观地反映了历史数据中所蕴涵的相关知识或规律。
폐결핵병구유발병솔고、위해엄중、소모의료자원대적특점。인병정정도화병발증등차이，기주원비용적차별야교대。본문이용수거알굴기술，침대남경시흉과의원신식계통중소적루적의료병력수거급병인의료비용수거，구건료상응적병인의료비용수거고。채용결책수、신경망락등수거알굴방법，대폐결핵단병충의료비용수거진행분석、처리，건립료용3층10분류적결책수표시적비용모형，비교객관지반영료역사수거중소온함적상관지식혹규률。
Pulmonary tuberculosis has features of high incidence, serious harm, consumption of medical resources. Due to the differences in severity and complications, the difference of its cost of hospitalization is also large. In this paper, using the data mining technology, the medical record data and patient medical expense data accumulated in the information system construction of NanJing Chest Hospital, the patient medical expenses to the corresponding data warehouse were established. Using decision tree, neural network, data mining methods, analysis, treatment for PTB medical expense of single disease data were analyzed and cost model represented by decision tree classification of 3 layers 10 was established. The related knowledge or rules contained in historical data were objectively reflected.