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Analysis of Various Diabetic Prediction Techniques

Tejinder Sharma1 , Nitika Sharma2

Section:Review Paper, Product Type: Journal Paper
Volume-8 , Issue-12 , Page no. 70-73, Dec-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i12.7073

Online published on Dec 31, 2020

Copyright © Tejinder Sharma, Nitika Sharma . 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: Tejinder Sharma, Nitika Sharma, “Analysis of Various Diabetic Prediction Techniques,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.12, pp.70-73, 2020.

MLA Style Citation: Tejinder Sharma, Nitika Sharma "Analysis of Various Diabetic Prediction Techniques." International Journal of Computer Sciences and Engineering 8.12 (2020): 70-73.

APA Style Citation: Tejinder Sharma, Nitika Sharma, (2020). Analysis of Various Diabetic Prediction Techniques. International Journal of Computer Sciences and Engineering, 8(12), 70-73.

BibTex Style Citation:
@article{Sharma_2020,
author = {Tejinder Sharma, Nitika Sharma},
title = {Analysis of Various Diabetic Prediction Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2020},
volume = {8},
Issue = {12},
month = {12},
year = {2020},
issn = {2347-2693},
pages = {70-73},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5282},
doi = {https://doi.org/10.26438/ijcse/v8i12.7073}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i12.7073}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5282
TI - Analysis of Various Diabetic Prediction Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Tejinder Sharma, Nitika Sharma
PY - 2020
DA - 2020/12/31
PB - IJCSE, Indore, INDIA
SP - 70-73
IS - 12
VL - 8
SN - 2347-2693
ER -

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Abstract

The data mining is the approach which can mine required information from the rough data. The prediction analysis is the approach which can predict future possibilities based on the current information. This review paper, is based on the diabetic prediction. The diabetic prediction technique has various steps like data pre-processing, feature extraction and classification. In this paper, various diabetic prediction techniques are reviewed and analyzed in terms of certain parameters.

Key-Words / Index Term

Diabetic prediction, classification, feature extraction

References

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