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2013 (Vol. 5, Issue: 02)
Article Information:

Implementation of ML Using Na´ve Bayes Algorithm for Identifying Disease-Treatment Relation in Bio-Science Text

T.F. Michael Raj and S. Prasanna
Corresponding Author:  T.F. Michael Raj 

Key words:  Health care information, machine learning, natural language processing, , , ,
Vol. 5 , (02): 421-426
Submitted Accepted Published
May 04, 2012 June 08, 2012 January 11, 2013
Abstract:

In recent years many successful machine learning applications have been developed, ranging from datamining programs to information-filtering systems that learn users' reading preferences. At the same time, there have been important advances in the theory and algorithms that can be used identify the diseases and treatment relations in a Bio-Science text. Imagine a computer learns from medical records which treatments are most effective for new diseases. Having the machine learning concept behind we have proposed a Machine Learning (ML) approach based on Na´ve Bayes (NB) algorithm to improve the automatic disease identification in the medical field. And also we have improved text classification by using an integrated model.
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  Cite this Reference:
T.F. Michael Raj and S. Prasanna, 2013. Implementation of ML Using Na´ve Bayes Algorithm for Identifying Disease-Treatment Relation in Bio-Science Text.  Research Journal of Applied Sciences, Engineering and Technology, 5(02): 421-426.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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