一种使用连续语音识别的病史采集系统。
A history-taking system that uses continuous speech recognition.
作者信息
Johnson K, Poon A, Shiffman S, Lin R, Fagan L
机构信息
Section on Medical Informatics, Stanford University School of Medicine, CA 94305-5479.
出版信息
Proc Annu Symp Comput Appl Med Care. 1992:757-61.
Q-MED is an automated history-taking system that uses speaker-independent continuous speech as its main interface modality. Q-MED is designed to allow a patient to enter her basic symptoms by engaging in a dialog with the program. Error-recovery mechanisms help to eliminate findings resulting from misrecognitions or incorrect parses. An evaluation of the natural language parser that Q-MED uses to map user utterances to findings showed an overall semantic accuracy of 87 percent; Q-MED asks more specific questions to capture findings that were not volunteered, or that were unable to be parsed in their initial, open-ended form.
Q-MED是一个自动病史采集系统，它使用独立于说话者的连续语音作为其主要交互方式。Q-MED旨在让患者通过与程序对话来输入自己的基本症状。错误恢复机制有助于消除因误识别或错误解析而产生的结果。对Q-MED用于将用户话语映射到诊断结果的自然语言解析器的评估显示，整体语义准确率为87%；Q-MED会提出更具体的问题，以获取患者未主动提及或无法以最初的开放式形式解析的诊断结果。
Zotero 插件