Research On The Platform Of Pharmacy Data Auxiliary Diagnosis And Its Deep Learning Model

As China is in a period of social transition,not only the pace of social life is noticeably accelerated,and the pressure of living is constantly increasing,but also the number of people in sub-health status and the risk of suffering from chronic diseases greatly increase.In recent years,health is of concern to more and more people.It is of great significance to provide health management services and health assistance diagnoses methods for people.As an important part of health management,health risk assessment model achieves reasonable judgments on the current state and tendency of health by collecting and analyzing detailed personal health information.The health risk assessment model provides some recommendation of pharmaceutical products that can improve personal or family health conditions effectively.Based on depth learning algorithm,thesis tries to establish a health-risk-assessment model and a medical recommendation system for the users.Combining Java EE framework,JSP and My SQL,a data consultation platform is used for medical store for users to provide health service.The main contents of this paper are as follows:1)According to the practical needs of the users,the pharmacy data auxiliary diagnosis platform has determined its overall design.Considering the objective conditions,we choose the B/S software system architecture and the Java EE structure,and give the functions and platform workflow of the assistance platform in detail.2)Building a health-risk-assessment model based on the depth belief network.The platform firstly preprocesses the physiological parameter information of users,and then uses the health-risk-assessment model based on deep belief networks to provide health evaluation for users by the type of report.3)Using the depth learning method in the medical recommendation.Based on the results of health assessment,physical health information,drug usage records,drug preferences,drug efficacy and other important characteristics,a data assistant platform for pharmacies is provided.The platform combines personalized information to provide health recommendations and drug recommendation.Personalized medical recommendations can also be implemented for users with different needs.4)A health-risk-assessment model is based on the depth learning algorithm and the medical data remediation platform.By using Servlet,JSP,Java Bean and My SQL,various functional modules are achieved,which including the login function,the management function about thebasic information of users and the health physiological parameter,the health risk diagnosis and the medical recommendation function.In addition,a health management model based on family responsibility is proposed.