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Instant Answering For Health Seekers Using Machine Learning


Periyanga. J, Preethi.B, Priya.M, Ramakrishanan
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To bridge the vocabulary gap between health seekers and providers is to code the medical records by jointly utilizing local mining and global learning. The emerging community generated health data is more colloquial in terms of inconsistency, complexity and ambiguity is overcome by machine learning process. Machine learning is achieved by using local mining and global learning techniques. Local mining database gets updated by global learning data. Global learning comprises a large collection of medical resources in its backend which helps to retrieve a related resource to the query based on terminology keywords.

Periyanga. J, Preethi.B, Priya.M, Ramakrishanan

Machine Learning, NLP, Support Vector Machine

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Publication Details

Published in : Volume 1 | Issue 1 | January-Febuary - 2015
Date of Publication Print ISSN Online ISSN
2015-02-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
335-338 IJSRSET151174   Technoscience Academy

Cite This Article

Periyanga. J, Preethi.B, Priya.M, Ramakrishanan, "Instant Answering For Health Seekers Using Machine Learning", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.335-338, January-Febuary-2015.
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