International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 139 - Issue 11 |
Published: April 2016 |
Authors: M.S. Barale, D.T. Shirke |
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M.S. Barale, D.T. Shirke . Cascaded Modeling for PIMA Indian Diabetes Data. International Journal of Computer Applications. 139, 11 (April 2016), 1-4. DOI=10.5120/ijca2016909426
@article{ 10.5120/ijca2016909426, author = { M.S. Barale,D.T. Shirke }, title = { Cascaded Modeling for PIMA Indian Diabetes Data }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 139 }, number = { 11 }, pages = { 1-4 }, doi = { 10.5120/ijca2016909426 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A M.S. Barale %A D.T. Shirke %T Cascaded Modeling for PIMA Indian Diabetes Data%T %J International Journal of Computer Applications %V 139 %N 11 %P 1-4 %R 10.5120/ijca2016909426 %I Foundation of Computer Science (FCS), NY, USA
This paper develops the cascaded models for classification of PIMA Indian diabetes database. The k-nearest neighbour method is used to impute the missing data and the processed data is used for further classification. This is done in two steps, in first step k-means clustering algorithm is used for extracting hidden patterns in data set then in second step the classification is done by using suitable classifier. k-means algorithm combined with artificial neural network classifier and k-means algorithm combined with logistic regression classifier achieve classification accuracy above 98%.