Knowledge Automation in Online Medical Inquiry Platforms
Zhao, Yifei1; Wang, Feiyue1; Wang, Jing1; Shi, Xiaobo2
2016
会议名称the INFORMS International 2016 Annual Meeting
会议录名称Proceedings of the INFORMS International 2016 Annual Meeting
会议日期2016
会议地点Waikoloa Village, Hawaii, USA
摘要none; Internet inquiry platforms have bloomed into the supplement and optimization of the traditional medical service systems over the past few years. Due to the lack of intelligence, the platforms cannot deal with medical knowledge automatically, usually resulting poor user experience. In this paper, we try to realize knowledge automation on internet inquiry platforms, from the following aspects: we use retrieval models combining word embedding and query likelihood language models to recommend similar cases for users from the semantic perspective; we use classification techniques to determine the quality of answers, and optimize the answers for the current query by finding a better one or changing some words in the original one; word embedding is integrated into some medical rules to help achieve automatic triage; more scientific semi automatic triage with user interaction is also tried; we also recommend suitable patients for doctors and recommend suitable doctors for patients through some recommendation technologies, expecting better user experience. Experimental results on the large-scale real world internet inquiry platform data show that our work can improve the platforms significantly.
关键词None
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/11710
专题复杂系统管理与控制国家重点实验室_先进控制与自动化
通讯作者Zhao, Yifei
作者单位1.Institute of Automation, Chinese Academy of Sciences
2.Qingdao Academy of Intelligent Industries
推荐引用方式
GB/T 7714
Zhao, Yifei,Wang, Feiyue,Wang, Jing,et al. Knowledge Automation in Online Medical Inquiry Platforms[C],2016.
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