Design Of Drug Recommendation System Based On K-means Clustering

While the Internet Age brings a mass of medical information,efficient analysis and medical data processing has extraordinary significance for intelligent medical care.For instance,in the field of pharmaceutical informatization,in pace with the types of medicines rapidly increase,doctors and patients need to spend a lot of time to find their medicines needed.Browsing a large amount of unrelated information and medications can confuse doctors and patients who are overwhelmed with information overload problems.Because of recommended technology is accurately or more in line with the hospitals' taste,it quickly get applied widely in the field of pharmaceutical informatization.The K-means algorithm,which has been universally used in the fields of recommended algorithms and data mining,has been widely concerned by researchers because of its relatively short computation time,easy explanation and good clustering effect.In this thesis,the related technologies of K-means clustering and recommend algorithms are studied,and based on this,a drug recommendation system for hospital outpatient doctors is designed.In the article,a drug recommendation system based on K-means clustering is designed.Therefore,it is proposed to construct the design idea of drug recommendation system and carries out research step-by-step.Secondly,by introducing K-means clustering algorithm to improve the efficiency of drug recommendation,the system can quickly and effectively recommend medicine that meet the needs of hospital outpatient doctors,and save prescription time.It introduces the knowledge of recommendation systems,K-means clustering algorithms and the models and recommended algorithms used in the development of medicine recommendation system.And in the design of drug recommendation model,the pretreated drug data is input first.Secondly,the existing drug data are analyzed and summarized,and the drug recommendation model based on K-means clustering algorithm is proposed according to the drug specification.According to the MAE Curve it analyse the drug similarity relationship between reasonable drug recommended methods.Finally,give the method of outputing data.In the system design,it introduces the system development and operation environment and the analysis of the structure of the system,and emphatically elaborates the system's concrete design and implementation process of the system.The module includes the main function modules such as system setting,drug data management,drug information inquiry and recommendation,doctors management,system management and database design.In the system implementation phase,the realization of each function module is introduced in detail,and finally the system usage is tested.This thesis designs and implementes the drug recommendation system,the purpose is making the system easily be accepted and used by hospital outpatient doctors,and reduces doctors prescription burden.