An Emotion-fused Medical Knowledge Graph and its Application in Decision Support
Zhang Liu, Liang Xiao, Jianxia Chen, Yu He, Yunlong Ye · 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) · 2022
Traditional medical guidance becomes increasingly unsatisfactory, as the care of patients should be centered around not just clinical symptoms but also their values and preferences. A method is proposed, in this paper, to fuse clinical knowledge and patient preferences into an integrated knowledge graph. Objective data was extracted from semi-structured online medical service interfaces, and subjective emotional data from patient review pages. A prototype system was designed and implemented to demonstrate the feasibility of the method. The system can recommend a ranked list of doctors with the best matched clinical background as well as patient preferences. An evaluation was conducted via carrying out a survey of user groups upon the medical guidance options of a human nurse, the “We Doctor” system, and our prototype system.