DocumentCode :
2344182
Title :
SEQUENCE PACKAGE ANALYSIS: A New Natural Language Understanding Method for Intelligent Mining of Recordings of Doctor-Patient Interviews and Health-Related Blogs
Author :
Neustein, Amy
Author_Institution :
Linguistic Technol. Syst., Edgewater, NJ
fYear :
2007
fDate :
2-4 April 2007
Firstpage :
431
Lastpage :
438
Abstract :
Medical histories provide a rich resource for diagnoses and treatment. Similarly, consumers´ blog postings on health-related topics offer unique data for medical researchers, practitioners, and pharmacologists. Nevertheless, speech and text analytic programs for mining recordings of patients´ histories or consumers´ blogs are compromised by the ambiguities, repetitions and ellipses in natural speech, which can be more pronounced when the speaker or blogger is discussing a medical problem. Conventional systems or programs limited to a set of key words and phrases cannot process speech as it actually occurs; if a speaker or blogger fails to use the word(s) found in the speech application´s vocabulary, a poor statistical word match (or no match) is given. This paper shows how sequence package analysis is informed by algorithms that can work with, rather than be hindered by, less than perfect natural speech for intelligent mining of doctor-patient recordings and blogs
Keywords :
Web sites; data mining; medical administrative data processing; natural language processing; speech processing; text analysis; doctor-patient interviews; health-related blogs; intelligent mining; medical histories; natural language understanding; sequence package analysis; speech analytic programs; text analytic programs; Blogs; Data mining; Disk recording; History; Medical diagnostic imaging; Medical treatment; Natural languages; Packaging; Speech analysis; Speech processing; blogosphere; data mining; medical interview; natural language understanding; sequence package analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2007. ITNG '07. Fourth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7695-2776-0
Type :
conf
DOI :
10.1109/ITNG.2007.179
Filename :
4151722
Link To Document :
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