摘要
Abstract
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.关键词
智能在线提示系统/嵌入式知识服务/中医临床/量表/异名术语发现Key words
Intel igent Online Clinic Alert System/Embedded Knowledge Services/Clinical Medicine/Scale Table/Symptom Terminologies'Synonyms Detection
