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A Review on Tuberculosis Using Data mining Approaches
Shakshi Garg,  Navpreet Rupal
Tuberculosis is one of the prominent diseases for all persons in established countries as well as India. It is the utmost communal reason of demise in human being. The high occurrence of Tuberculosis has augmented expressively in previous years. In previous years TB classification has been done using various algorithms like color segmentation, thresholding, histogram equalization. The previous work is appreciable, but the work is consistent for similar types of data set. In this paper we have discussed about tuberculosis, various data mining approaches for tuberculosis data set. And also give a brief about previous work done in this field as well as two techniques that are genetic algorithm and neural network can be utilized for future work to enhance the results of previous approaches to diagnose and prevent TB.
Keywords- Tuberculosis, Data mining, Neural Network, Genetic Algorithm.
Unique Identification Number - IJEDR1503083Page Number(s) - 1-4Pubished in - Volume 3 | Issue 3 | 28 August 2015DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Shakshi Garg,  Navpreet Rupal,   "A Review on Tuberculosis Using Data mining Approaches"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp.1-4, 28 August 2015, Available at :http://www.ijedr.org/papers/IJEDR1503083.pdf