DIABETES CLASSIFICATION AND PREDICTION USING ARTIFICIAL NEURAL NETWORK
Journal Title: International Journal of Computer Engineering & Technology (IJCET) - Year 2019, Vol 10, Issue 3
Abstract
The classification of data is an important field of data mining comes under supervised learning. In this approach classifier is trained on the pre-categorized data thereafter tested on unseen part called test data to evaluate it. The other related field clustering comes under unsupervised learning is used for categorizing data into different clusters or assigning labels to them which are previously unknown. In this article the classification of data is done and we are using artificial neural networks (ANN) for pre-processing i.e. removing noisy instances through novel clustering technique and then classifying pre-processed data through ANN. Both are exhaustive approaches. The data set used in this article is PIMA Indian diabetes data set available on UCI repository.
Authors and Affiliations
KSHITIJ TRIPATHI
Keywords
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- EP ID EP46570
- DOI 10.34218/IJCET.10.3.2019.018
- Views 210
- Downloads 0
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