Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/213
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dc.contributorDepartment of Computing-
dc.creatorPang, B-
dc.creatorZhang, DD-
dc.creatorLi, N-
dc.creatorWang, K-
dc.date.accessioned2014-12-11T08:23:00Z-
dc.date.available2014-12-11T08:23:00Z-
dc.identifier.issn0018-9294-
dc.identifier.urihttp://hdl.handle.net/10397/213-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectBayesian networken_US
dc.subjectComputerized tongue diagnosisen_US
dc.subjectTCM modernizationen_US
dc.titleComputerized tongue diagnosis based on Bayesian networksen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1803-
dc.identifier.epage1810-
dc.identifier.volume51-
dc.identifier.issue10-
dc.identifier.doi10.1109/TBME.2004.831534-
dcterms.abstractTongue diagnosis is an important diagnostic method in traditional Chinese medicine (TCM). However, due to its qualitative, subjective and experience-based nature, traditional tongue diagnosis has a very limited application in clinical medicine. Moreover, traditional tongue diagnosis is always concerned with the identification of syndromes rather than with the connection between tongue abnormal appearances and diseases. This is not well understood in Western medicine, thus greatly obstruct its wider use in the world. In this paper, we present a novel computerized tongue inspection method aiming to address these problems. First, two kinds of quantitative features, chromatic and textural measures, are extracted from tongue images by using popular digital image processing techniques. Then, Bayesian networks are employed to model the relationship between these quantitative features and diseases. The effectiveness of the method is tested on a group of 455 patients affected by 13 common diseases as well as other 70 healthy volunteers, and the diagnostic results predicted by the previously trained Bayesian network classifiers are reported.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on biomedical engineering, Oct. 2004, v. 51, no. 10, p.1803-1810-
dcterms.isPartOfIEEE transactions on biomedical engineering-
dcterms.issued2004-10-
dc.identifier.isiWOS:000224001900011-
dc.identifier.scopus2-s2.0-4644236134-
dc.identifier.pmid15490827-
dc.identifier.eissn1558-2531-
dc.identifier.rosgroupidr24507-
dc.description.ros2004-2005 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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