ADDS:An Automated Disease Diagnosis-Aided System

摘要：

　　This demo paper describes an automated disease diagnosis-aided system in healthcare (ADDS).The system contains four main components: medical knowledge base,data processing,data analytics,and interactive crowdbased feedback.First,we build a semantic-rich knowledge base using practical clinical data that are collected from several collaborated hospitals.Different from existing knowledge bases,we focus on building the personalized knowledge graph for each patient.Second,we develop an automated integration platform for patients to upload and manage their health data.The data are integrated into their clinical data,and then used as input for the data analytics tool.The automated diagnosis results are retuned and visualized to the corresponding patients and doctors.If the doctors have questions about the results,they can use our provided interactive feedback system to contact the patients.The feedbacks from expert doctors are used to improve the accuracy of the data analytics tool.

关键词： Automated disease diagnosis-aided system Medical knowledge base Data analytic tool Clinical data Health data

作者: Zhentuan Xu Xiaoli Wang Yating Chen Yangbin Pan Mengsang Wu Mengyuan Xiong

作者单位: Software School of Xiamen University,Xiamen 361005,China

会议类型: 国际会议

会议名称: International Asia-Pacific Web Conference(第18届国际亚太互联网大会)

会议地点: 苏州

会议语种:英文

页码: 556-560

在线出版日期: 2016-09-23（万方平台首次上网日期，不代表论文的发表时间）