文献类型：期刊文献

英文题名：Intelligent Hospital Guidance System based on Multi-Round Conversation

作者：Liu, Daowen[1]; Ma, Zhiyuan[1]; Zhou, Yangming[1]; Zhai, Jie[1]; Cai, Tingting[1]; Xue, Kui[1]; He, Ping[2]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China; [2] Shanghai Shenkang Hospital Development Center, Shanghai, 200025, China

年份：2019

起止页码：1540

外文期刊名：Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019

收录：EI(收录号：20202008645123)

语种：英文

外文关键词：eHealth - Remote control - Knowledge graph - Records management

摘要：Registering a wrong hospital department is common when patients use on-line registering systems. Currently, there are some systems in practice. However, patients are unable to choose the best department due to different names and authorities of hospitals. To help solve the problem, we build a symptom-disease-disciplinary knowledge graph to recommend appropriate departments for patients. We obtain real disease-disciplinary information based on the regional health platform electronic health records (EHRs). Besides, we synthesize the symptom-disease relationship between ICD codes and medical encyclopedia websites. To further help the system predict the diseases based on patients' complaints, we update the weights of diseases through patients' choices in multi-round conversations. Experimental results show that the accuracy of final prediction is up to 92%. ? 2019 IEEE.