CAJ | 학술논문

目的：将中医病案文本信息环境、知识需求、知识需求常见行为及现有的知识环境有机结合起来，建立一个相互联系、相互支撑的嵌入式知识智能在线提示系统。方法系统利用了量表、规则提示和异名病症术语发现的方法，集成了文本提取、术语自动获取、术语检索、术语发现和智能提示的功能。内容本研究提出了一种在中医临床应用上的智能在线提示系统。它通过收集关于药物、方剂、症状、诊断等相关数据，集成了强大的数据库词典，并利用量表和规则，对医疗病案实现了智能化在线分析。最后，用100份病案数据对系统进行了试验。结果量表证候提示实验，召回率为63.33%，准确率为76.00%；病症异名发现实验，召回率为58.06%，准确率为77.78%。结论该系统可以提供即时的中医药知识服务，提高用户的知识查询、利用的效率。本研究也揭示了临床量表的制定与临床实际存在一定的差距。
목적：장중의병안문본신식배경、지식수구、지식수구상견행위급현유적지식배경유궤결합기래，건립일개상호련계、상호지탱적감입식지식지능재선제시계통。방법계통이용료량표、규칙제시화이명병증술어발현적방법，집성료문본제취、술어자동획취、술어검색、술어발현화지능제시적공능。내용본연구제출료일충재중의림상응용상적지능재선제시계통。타통과수집관우약물、방제、증상、진단등상관수거，집성료강대적수거고사전，병이용량표화규칙，대의료병안실현료지능화재선분석。최후，용100빈병안수거대계통진행료시험。결과량표증후제시실험，소회솔위63.33%，준학솔위76.00%；병증이명발현실험，소회솔위58.06%，준학솔위77.78%。결론해계통가이제공즉시적중의약지식복무，제고용호적지식사순、이용적효솔。본연구야게시료림상량표적제정여림상실제존재일정적차거。
Objective The paper's aim is to build an inter-connected, mutual supported embedded intel igent online clinic alert system,which associated with TCM's medical record text information environment,knowledge requirement's common behavior and existing knowledge environment. Methods The system adopts the methods of scale table,rule promptness and Symptom terminologies'synonyms detection.It also integrates the functions of text extraction and terminologies'automatic acquisition, searching,detection and intel igent promptness. Content This research proposes an Intel igent Online Clinic Alert System which are applied on Traditional Chinese Clinical Medicine. By col ecting the data of herbs,prescriptions,systems and diagnosis,the system builds a strong dictionary and achieves intel igent online analysis by scales and rules.At last,100 medical records are used to test the system. Results The recal and accuracy rates of the syndrome prompted experiment by scale table are 63.33% and 76.00%.The recal and accuracy rates of the symptom terminologies'synonyms detection experiment are 58.06% and 77.78%. Conclusions The system can provide instant Chinese medical knowledge service,which improves the effectiveness of knowledge searching and utilization.