Data Mining And Application Based On Clinic Rational Administration Of Drug

In recent years,drug threpty in becomes the focus of public attention with the development of medical and healthy services. According to the statistical data,there are more than two million and five hundred thousand involved in drug-induced disorders in fivty million in hospital, and two hundred thousand persons died of badness drug threpty. Drug-induced disorder becomes the Number four reason causing death, so it admits of no underestimate. As the widely used drug, drug-induced disorder is a great hazard to health of human. Rational administration of drug is to reduce hazard of bad effect of the medication.Rational administration of drug means making best choice of medicine and the preparation according to sickness category, conditions and pharmacology theory in order to get the valid, secure and economic measure to prevent and charm away disease.The guide principles to resolve techno-problems in clinic rational administration of drug is Evidence-based Medicine, in which the main research methods are random contradistinguish research, system evaluation, clinic direction and so on.Based on the deep research of association rules of data mining, data pretreatment and, actuality and trend of sanitation department in our country, the thesis proposed an expert system model and explored its realization combing with characteristic of medical treatment activity in our country. The system get a set of doctor's advice by picking-up the data of CPR and doctor's advice, sorting by age or sex after necessary data pretreatment, formint the corresponding doctor's advice lists, using the improved SCG algorithm. The doctor's advice and case lists compose clinic medical cure repository, which support decision-making for clinic cure scheme.According to the algorithm of Apriori and SCG, in this paper, we propose the improved SCG algorithm, the experiment proment that the improved SCG algorithm is more efficitive than SCG algorithm.This paper applies data mining in clinic rational administration of drug for the first time and advance power of collection automatically and validation in clinic rational administration of drug. It will boost development of application of data mining in clinic astrology field and advance level of reasonable drug threpty and intelligentization.