摘要
近年来,以物联网技和云计算技术为代表的新一代信息技术以及数据挖掘和机器学习领域的发展迅速,引发了围绕数字化医院建设和地区医疗网络建设的热潮。智能医疗健康服务管理领域逐渐成为一个新的研究热点。在传统的医疗健康信息系统中,获取医疗知识的主要手段是基于关键词的查询方法,然而推荐的最佳资源过度集中,且未考虑用户问题描述中的语义相关度。因此为了合理利用医疗资源,使得用户能够利用网络信息载体获取咨询和诊疗的机会,文章提出一种混合个性化医生推荐算法,将传统的基于内容的推荐算法、协同过滤推荐算法在电子健康领域相结合,达到为每一位用户推荐最佳医生的效果。
In recent years, the new generation of information technology represented by Internet of Things technology and cloud computing technology and the rapid development in the fields of data mining and machine learning have triggered a craze around the construction of digital hospitals and the construction of regional medical networks. Intelligent medical and health service management has gradually become a new research hotspot. In the traditional medical health information system, the main means of acquiring medical knowledge is the keyword-based query method, however, the recommended best resource is too concentrated, and the semantic relevance in the user’s problem description is not considered. Therefore, in order to make rational use of medical resources and enable users to use the network information carrier to obtain consultation and diagnosis and treatment opportunities, a hybrid personalized personalized medical recommendation algorithm is proposed in this paper. The traditional content-based recommendation algorithm and collaborative filtering recommendation algorithm are applied in the field of electronic health Combined, to achieve the best doctor recommended for each user’s effect.
出处
《信息通信》
2018年第2期67-70,共4页
Information & Communications
关键词
推荐算法
电子健康
协同过滤
认可度
语义相似度
Recommendation algorithm
electronic health
collaborative filtering
recognition
semantic similarity
