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Diagnosis of Diabetes Using Convolutional Neural Network

Tushar Deshmukh1 , H.S. Fadewar2 , Ankur Shukla3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 1741-1744, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.17411744

Online published on May 31, 2019

Copyright © Tushar Deshmukh, H.S. Fadewar, Ankur Shukla . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Tushar Deshmukh, H.S. Fadewar, Ankur Shukla, “Diagnosis of Diabetes Using Convolutional Neural Network,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1741-1744, 2019.

MLA Style Citation: Tushar Deshmukh, H.S. Fadewar, Ankur Shukla "Diagnosis of Diabetes Using Convolutional Neural Network." International Journal of Computer Sciences and Engineering 7.5 (2019): 1741-1744.

APA Style Citation: Tushar Deshmukh, H.S. Fadewar, Ankur Shukla, (2019). Diagnosis of Diabetes Using Convolutional Neural Network. International Journal of Computer Sciences and Engineering, 7(5), 1741-1744.

BibTex Style Citation:
@article{Deshmukh_2019,
author = {Tushar Deshmukh, H.S. Fadewar, Ankur Shukla},
title = {Diagnosis of Diabetes Using Convolutional Neural Network},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1741-1744},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4482},
doi = {https://doi.org/10.26438/ijcse/v7i5.17411744}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.17411744}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4482
TI - Diagnosis of Diabetes Using Convolutional Neural Network
T2 - International Journal of Computer Sciences and Engineering
AU - Tushar Deshmukh, H.S. Fadewar, Ankur Shukla
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1741-1744
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

Modern society because of their life style is always prone to imbalanced metabolism disease called diabetes. Early diagnosis of diabetes is major challenge in real life since people don’t check their blood glucose level very often. But if the diabetes remains unattended or is detected at late stage, may lead to severe problem. So, what is important is to predict the diabetes at earliest. For the same reason various researchers are taking efforts by using various data mining techniques for the early prediction of diabetes. The automated prediction system is just one of the outcomes of the efforts taken by the researchers. The proposed system uses convolutional neural network for this kind of classification.

Key-Words / Index Term

diabetes, Prediction of diabetes, convolution neural network, classification

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