Concept Based Knowledge Discovery from Biomedical Literature

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dc.contributor.advisorBajic, Vladimir
dc.contributor.authorRadovanovic, Aleksandar.
dc.contributor.otherFaculty of Science
dc.date.accessioned2013-11-26T19:13:53Z
dc.date.accessioned2024-05-17T07:57:41Z
dc.date.available2010/04/25 23:05
dc.date.available2010/04/25
dc.date.available2013-11-26T19:13:53Z
dc.date.available2024-05-17T07:57:41Z
dc.date.issued2009
dc.descriptionPhilosophiae Doctor - PhDen_US
dc.description.abstractThis thesis describes and introduces novel methods for knowledge discovery and presents a software system that is able to extract information from biomedical literature, review interesting connections between various biomedical concepts and in so doing, generates new hypotheses. The experimental results obtained by using methods described in this thesis, are compared to currently published results obtained by other methods and a number of case studies are described. This thesis shows how the technology, resented can be integrated with the researchers own knowledge, experimentation and observations for optimal progression of scientific research.en_US
dc.description.countrySouth Africa
dc.identifier.urihttps://hdl.handle.net/10566/15258
dc.language.isoenen_US
dc.publisherUniversity of the Western Capeen_US
dc.rights.holderUniversity of the Western Capeen_US
dc.subjectBioinformaticsen_US
dc.subjectText miningen_US
dc.subjectPubMeden_US
dc.subjectEntity recognitionen_US
dc.subjectInformation extractionen_US
dc.subjectRelation Extractionen_US
dc.subjectLevenshtein distanceen_US
dc.subjectSupervised classificationen_US
dc.subjectNatural Language Processingen_US
dc.subjectMachine learningen_US
dc.titleConcept Based Knowledge Discovery from Biomedical Literatureen_US
dc.typeThesisen_US

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