Research Article | OPEN ACCESS
Implementation of ML Using Naive Bayes Algorithm for Identifying Disease-Treatment Relation in Bio-Science Text
T.F. Michael Raj and S. Prasanna
Department of Computer Science Engineering, SASTRA University, India
Research Journal of Applied Sciences, Engineering and Technology 2013 2:421-426
Received: May 04, 2012 | Accepted: June 08, 2012 | Published: January 11, 2013
Abstract
In recent years many successful machine learning applications have been developed, ranging from data-mining 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 Naïve 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.
Keywords:
Health care information, machine learning, natural language processing,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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