Q-Med: A Spoken-Language System to Conduct Medical Interviews

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KSL-92-09 +  redirect page

Q-Med: A Spoken-Language System to Conduct Medical Interviews +  Has identifier

Q-Med: A Spoken-Language System to Conduct Medical Interviews +  Ksl tr id

Q-Med: A Spoken-Language System to Conduct Medical Interviews +  Number

Q-Med: A Spoken-Language System to Conduct Medical Interviews

Bibtype  techreport

Has publishing details  February,1992

Has title  Q-Med: A Spoken-Language System to Conduct Medical Interviews

Has where published  KSL-92-09

Has year  1992

Title  Q-Med: A Spoken-Language System to Conduct Medical Interviews

Year  1992

Abstract  Continuous-speech-recognition technology ( Continuous-speech-recognition technology (CSRT) promises to be a useful modality for human-computer interaction. Unfortunately, usable spoken-language systems have been difficult to build, in part due to problems with misrecognitions when large speaker-independent vocabularies and language models are used. As part of a project to create spoken-language systems that achieve acceptable performance in spite of partially misrecognized input, we have developed Q-MED, a system that creates applications using CSRT in the task of medical interviewing. The system uses questions arranged hierarchically: from open-ended questions that have large language models, to more directed questions that use smaller language models. This hierarchy of questions allows the system to recover from unintended or misinterpreted utterances by asking more directed questions until an adequate answer is recognized. Furthermore, information-retrieval techniques map an utterance to one or more predefined symptoms, even if only some of the words in the utterance are recognized correctly. This paper discusses the rationale behind and implementation of Q-MED, using examples from an application created to interview patients who have abdominal pain. nterview patients who have abdominal pain.

Author  Kevin Johnson and Alex Poon and Smadar Shiffman and Richard Lin and Lawrence M. Fagan +

Has author  Kevin Johnson and Alex Poon and Smadar Shiffman and Richard Lin and Lawrence M. Fagan +

Has identifier  Q-Med: A Spoken-Language System to Conduct Medical Interviews +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  Q-Med: A Spoken-Language System to Conduct Medical Interviews +

Month  February +

Number  Q-Med: A Spoken-Language System to Conduct Medical Interviews +

Process note  NO +

Categories  KSL Technical Report +, Publication +, Technical Report +

 

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