| Automatic analysis of medical dialogue in the home hemodialysis domain: structure induction and summarization. | |
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MedLine Citation:
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PMID: 16488194 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Spoken medical dialogue is a valuable source of information for patients and caregivers. This work presents a first step towards automatic analysis and summarization of spoken medical dialogue. We first abstract a dialogue into a sequence of semantic categories using linguistic and contextual features integrated in a supervised machine-learning framework. Our model has a classification accuracy of 73%, compared to 33% achieved by a majority baseline (p<0.01). We then describe and implement a summarizer that utilizes this automatically induced structure. Our evaluation results indicate that automatically generated summaries exhibit high resemblance to summaries written by humans. In addition, task-based evaluation shows that physicians can reasonably answer questions related to patient care by looking at the automatically generated summaries alone, in contrast to the physicians' performance when they were given summaries from a naïve summarizer (p<0.05). This work demonstrates the feasibility of automatically structuring and summarizing spoken medical dialogue. |
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Authors:
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Ronilda C Lacson; Regina Barzilay; William J Long |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. Date: 2006-02-02 |
Journal Detail:
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Title: Journal of biomedical informatics Volume: 39 ISSN: 1532-0480 ISO Abbreviation: J Biomed Inform Publication Date: 2006 Oct |
Date Detail:
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Created Date: 2006-09-11 Completed Date: 2006-10-10 Revised Date: 2007-11-15 |
Medline Journal Info:
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Nlm Unique ID: 100970413 Medline TA: J Biomed Inform Country: United States |
Other Details:
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Languages: eng Pagination: 541-55 Citation Subset: IM |
Affiliation:
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Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. rclacson@mit.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Artificial Intelligence* Communication* Hemodialysis, Home* Humans Information Storage and Retrieval / methods Patient Education as Topic / methods |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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