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Paper Details
Paper Title
Diagnosis Report Generation Using Map Reduce Approach
Authors
PRAGATI S.JOSHI, PROF. P. N. KALAVADEKAR
Abstract
Abstract - It has been presented a challenging issue in processing large amount of data, especially in data redundant system. The conditional random field (CRF) model is applied in biomedical named entity recognition. The performance improvement of the CRF model is significant due to the internally sequential feature, which requires a new parallelized solutions. There is classification Of disease on the basis of symptoms,cure,prevention,commonly seen in(age) . To keep this issues in mind we are implementing the solution with New virtibi Learning,MRCRF Using Fuzzy For CRF and Map Reduce technique respectively.
Keywords- Index Terms - Biomedical named entity, MapReduce, Conditional Random field(CRF),Hadoop..
Publication Details
Unique Identification Number - IJEDR1603044Page Number(s) - 271-275Pubished in - Volume 4 | Issue 3 | July 2016DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
PRAGATI S.JOSHI, PROF. P. N. KALAVADEKAR, "Diagnosis Report Generation Using Map Reduce Approach", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.271-275, July 2016, Available at :http://www.ijedr.org/papers/IJEDR1603044.pdf
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