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基于电子病历大数据的问答系统
引用本文:张生泽,王庆阳,袁克虹.基于电子病历大数据的问答系统[J].医学信息学杂志,2017,38(3):7-11,39.
作者姓名:张生泽  王庆阳  袁克虹
作者单位:清华大学深圳研究生院 深圳 518055;清华大学深圳研究生院 深圳 518055;清华大学深圳研究生院 深圳 518055
摘    要:基于电子病历大数据并结合信息检索与深度学习方法,设计一种辅助诊断问答系统。介绍系统的总体框架及电子病历数据库、价值网络、策略网络的设计,给出系统工作流程。该系统能帮助患者自查病情,也能为医生制定诊疗方案提供参考。

关 键 词:电子病历  信息检索  深度学习  辅助诊断
收稿时间:2017/3/28 0:00:00

Question Answering System Based on the Big Data of Electronic Medical Records(EMR)
ZHANG Sheng-ze,WANG Qing-yang and YUAN Ke-hong.Question Answering System Based on the Big Data of Electronic Medical Records(EMR)[J].Journal of Medical Informatics,2017,38(3):7-11,39.
Authors:ZHANG Sheng-ze  WANG Qing-yang and YUAN Ke-hong
Institution:Shenzhen Graduate School, Tsinghua University, Shenzhen 518055, China;Shenzhen Graduate School, Tsinghua University, Shenzhen 518055, China;Shenzhen Graduate School, Tsinghua University, Shenzhen 518055, China
Abstract:Based on the big data of Electronic Medical Records(EMR), information retrieval and the deep learning method, an auxiliary diagnosis Question Answering(QA) system is designed. The paper introduces the design of general framework, EMR database, value network and policy-based network of the system, provides the system operation process. This system can not only help patients to examine their conditions independently, but also provide reference for doctors when they make the diagnosis and treatment schemes.
Keywords:Electronic Medical Records(EMR)  Information retrieval  Deep learning  Auxiliary diagnosis
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