CONTEXTUAL LEARNING APPROACH FOR SYNDROME DISEASE NAMED ENTITY RECOGNITION

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dc.contributor.authorUma, Dr. E.en_US
dc.contributor.authorK, Kamatchien_US
dc.contributor.authorElangovan, Mehalaen_US
dc.date.accessioned2023-08-09T05:59:36Z
dc.date.available2023-08-09T05:59:36Z
dc.date.issued2023-03
dc.description.abstractThe groundwork for extracting a significant amount of biomedical information from unstructured texts into structured formats is the difficult research area of biological entity recognition from medical documents. The existing work implemented the named entity recognition for diseases using the sequence labelling framework. The performance of this strategy, however, is not always adequate, and it frequently cannot fully exploit the semantic information in the dataset. The Syndrome Diseases Named Entity problem is presented in this work as a sequence labelling with multi-context learning. By using well-designed text/queries, this formulation may incorporate more previous information and to decode it using decoding techniques such conditional random fields (CRF). We performed experiments on three biomedical datasets, and the outcomes show how effective our methodology is on the BC5CDR-Disease, JNLPBA and NCBI-Disease, compared with other techniques our methodology performs with accuracy levels of 96.70%,98.65 and 96.72% respectively.en_US
dc.identifier.affiliationsAssistant Professor Sl. Gr, College of Engineering Guindy, Anna University. *Corresponding Authoren_US
dc.identifier.affiliationsCollege of Engineering Guindy, Anna University Research Scholaren_US
dc.identifier.affiliationsAnnamalai University Assistant Professoren_US
dc.identifier.citationUma Dr. E., K Kamatchi, Elangovan Mehala. CONTEXTUAL LEARNING APPROACH FOR SYNDROME DISEASE NAMED ENTITY RECOGNITION. Indian Journal Of Applied Research. 2023 Mar; 13(3): 11-14en_US
dc.identifier.issn2249-555X
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/221381
dc.languageenen_US
dc.publisherIndian Society For Health And Advanced Researchen_US
dc.relation.issuenumber3en_US
dc.relation.volume13en_US
dc.source.urihttps://www.doi.org/10.36106/ijaren_US
dc.subjectsequence labellingen_US
dc.subjectcontext learningen_US
dc.subjectnamed entity recognitionen_US
dc.subjectGated recurrent uniten_US
dc.subjectConditional random fielden_US
dc.titleCONTEXTUAL LEARNING APPROACH FOR SYNDROME DISEASE NAMED ENTITY RECOGNITIONen_US
dc.typeJournal Articleen_US
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