Accurate medical information recommendation system based on big data analysis

Abstract

In order to solve the problems of low recommendation accuracy and long response time in traditional medical information recommendation system, a medical information accurate-recommendation system based on big data analysis is proposed. The system is designed as medical information data acquisition module, medical information storage module and medical information accurate-recommendation module. In the medical information data acquisition module, crawler technology is used to obtain medical information data, and association rule algorithm is used to mine the medical information data. In the medical information storage module, personalised configuration is set. In the medical information accurate-recommendation module, the user interest model is quantified by vector space method, and BP algorithm and SOM algorithm are introduced to complete the accuracy of medical information recommend. The experimental results show that: the highest accuracy rate of medical information recommendation is 98.8%, and the shortest retrieval response time is 20 ms.