针对在线问诊中患者主诉医疗信息表述多样化, 医疗知识利用不足的问题, 本文设计实现了基于医疗知识图谱的交互式智能导诊系统. 该系统引入医疗知识图谱提供导诊知识, 通过实体识别和实体链接技术规范化主诉文本中的医疗表述, 利用医疗实体生成知识图谱子图并获取子图语义信息, 融合子图和患者主诉的语义信息得到科室置信度. 当推荐科室置信度低时, 通过多轮交互问询的方式补充患者症状信息, 最终给出推荐科室. 该系统能够为建立快速精准智能医疗体系提供技术支持, 有效提升导诊效率, 缓解医疗资源紧张.
Diversified expression of medical information and inefficient utilization of medical knowledge are encountered in online consultations. This study designs and implements an interactive intelligent diagnosis guidance system based on medical knowledge graphs. The system introduces medical knowledge graphs to provide medical knowledge and relies on entity recognition and entity linking technology to standardize the medical expression in the main condition description text. Moreover, it uses the medical entity to generate knowledge subgraphs and obtain their semantic information and merges the semantic information of the subgraphs and patient condition description to obtain department confidence. When the confidence of the recommended department is low, multi-round interactive inquiry can supplement the patient’s symptom information, and finally, the recommended department is determined. The system can provide technical support for building a fast and accurate intelligent medical system to improve the efficiency of diagnosis and alleviate the shortage of medical resources.