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Issue based automatic rejoinder for diseases – a confederacy based approach

Keywords: Bioinformatics , Biomedical , Information Extraction , Natural Language Processing (NLP)

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Abstract:

Currently species that reside in the whole world is some how directly or indirectly exaggeratedby diseases which is a phenomenon of medical problem. The reason behind this concern varies whichprofound to be hardly identified in many cases that made us in designing architecture to provide solutionto this problem in this domain. In this paper a restricted issue based rejoinder (IBR) system is describedwhich applies simple process for information retrieving from the retained document collections.Information extraction made from the databases of Unified Medical Language System (UMLS),MedicineNet, PubMed and Medline. Natural language processing (NLP) technique which us is used bythe system to rejoinder the issue using biomedical key terminologies. For diseases issues the extractionis done by using indexing on bases of species, signs or symptoms and treatments. In context, matchingoccurrence has been reformulated through alternative means for formulating better results. Apart fromthis, the convenience of adapting the system in the environment has also been symbolized throughanalysis.

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