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A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach

Crossref DOI link: https://doi.org/10.1016/j.asoc.2016.05.010

Published Print: 2016-12

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Authors

Kamadi, V.S.R.P. Varma

Allam, Appa Rao

Thummala, Sita Mahalakshmi

P., V. Nageswara Rao
Funding

Funding for this research was provided by:

DST-IRHPA
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Text and Data Mining valid from 2016-12-01
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This article is maintained by: Elsevier

Article Title: A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach

Journal Title: Applied Soft Computing

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.asoc.2016.05.010

Content Type: article

Copyright: © 2016 Elsevier B.V. All rights reserved.

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