基于推荐算法和主成分分析的智能处方推荐系统

Intelligent Prescription Recommendation System Based on Recommendation Algorithm and Principal Component Analysis

通过使用推荐算法和主成分分析等技术,通过海量病历的处方数据进行学习,并结合诊疗指南等知识库数据,实现基于医生的诊疗习惯及疾病的诊疗原理的处方推荐,以医疗服务云的方式为医生提供辅助决策,提高医生工作效率,降低医疗风险,推进医疗资源共享。

By the recommendation algorithm and principal component analysis and other techniques, and the machine learning of the massive medical records of the prescription data, combined with the diagnosis and treatment guidelines and other knowledge base data, In the way of medical service cloud, it provides assistant decision-making for doctors, improves the efficiency, reduces medical risk, and promotes the sharing of medical resources.