Survey on Prediction and Analysis of Diabetic Data using Machine Learning Techniques
Monika 1 , Pooja Sharma2
Section:Survey Paper, Product Type: Journal Paper
Volume-6 ,
Issue-6 , Page no. 1032-1038, Jun-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i6.10321038
Online published on Jun 30, 2018
Copyright © Monika, Pooja 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: Monika, Pooja Sharma, “Survey on Prediction and Analysis of Diabetic Data using Machine Learning Techniques,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1032-1038, 2018.
MLA Style Citation: Monika, Pooja Sharma "Survey on Prediction and Analysis of Diabetic Data using Machine Learning Techniques." International Journal of Computer Sciences and Engineering 6.6 (2018): 1032-1038.
APA Style Citation: Monika, Pooja Sharma, (2018). Survey on Prediction and Analysis of Diabetic Data using Machine Learning Techniques. International Journal of Computer Sciences and Engineering, 6(6), 1032-1038.
BibTex Style Citation:
@article{Sharma_2018,
author = {Monika, Pooja Sharma},
title = {Survey on Prediction and Analysis of Diabetic Data using Machine Learning Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {1032-1038},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2294},
doi = {https://doi.org/10.26438/ijcse/v6i6.10321038}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.10321038}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2294
TI - Survey on Prediction and Analysis of Diabetic Data using Machine Learning Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Monika, Pooja Sharma
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 1032-1038
IS - 6
VL - 6
SN - 2347-2693
ER -
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Abstract
In the current era of technology, evolution of medical sciences becomes an active field of research as people have more curiosity towards their health. Different techniques of data mining are used to mine the information from various data patterns. Prior, PC was used to manufacture an information based clinical result which utilizes learning from therapeutic specialists and moves this information into PC calculations physically. This process takes lot of time and gives subjective results as this information only depends on medical professional only. To overcome these type of problems various techniques of machine learning are used to extract important medical patterns from the raw data. In this paper, we have critically analyzed various data mining techniques to gather informative patterns from data sets in medical sciences.
Key-Words / Index Term
Informative Patterns, Clinical Databases, Data Mining, Prediction, Machine Learning
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