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A Health Decision Support System for Disease Diagnosis based on Machine Learning via Big Data

S.Subbalakshmi 1 , M.Sumithra 2

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-03 , Page no. 97-103, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6si3.97103

Online published on Apr 30, 2018

Copyright © S.Subbalakshmi, M.Sumithra . 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: S.Subbalakshmi, M.Sumithra, “A Health Decision Support System for Disease Diagnosis based on Machine Learning via Big Data,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.03, pp.97-103, 2018.

MLA Style Citation: S.Subbalakshmi, M.Sumithra "A Health Decision Support System for Disease Diagnosis based on Machine Learning via Big Data." International Journal of Computer Sciences and Engineering 06.03 (2018): 97-103.

APA Style Citation: S.Subbalakshmi, M.Sumithra, (2018). A Health Decision Support System for Disease Diagnosis based on Machine Learning via Big Data. International Journal of Computer Sciences and Engineering, 06(03), 97-103.

BibTex Style Citation:
@article{_2018,
author = {S.Subbalakshmi, M.Sumithra},
title = {A Health Decision Support System for Disease Diagnosis based on Machine Learning via Big Data},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2018},
volume = {06},
Issue = {03},
month = {4},
year = {2018},
issn = {2347-2693},
pages = {97-103},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=326},
doi = {https://doi.org/10.26438/ijcse/v6i3.97103}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i3.97103}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=326
TI - A Health Decision Support System for Disease Diagnosis based on Machine Learning via Big Data
T2 - International Journal of Computer Sciences and Engineering
AU - S.Subbalakshmi, M.Sumithra
PY - 2018
DA - 2018/04/30
PB - IJCSE, Indore, INDIA
SP - 97-103
IS - 03
VL - 06
SN - 2347-2693
ER -

           

Abstract

The usual method of health decision support system through regular database provides less efficient prediction. The analysis accuracy is reduced when the quality of medical data is incomplete. It is replaced by a health decision support system which uses big data and a framework called hadoop. The decision support system is used for implementing the healthcare with the help of Hadoop as it contains large amount of data. Hadoop is used to predict the disease based upon the symptoms. The patients are provided with the unique ID. The Patient’s Health Record (PHR’s) of the patient is stored in the public cloud and is encrypted by homomorphic encryption. When the PHR is needed, they are retrieved from the cloud by decrypting it with the key so, this results in providing the confidentiality to the data. This proposed system provides accurate information and is handy for doctors to diagnose the patients quickly.

Key-Words / Index Term

Disease prediction, Machine learning, big data, Naïve Bayes, Hadoop, Health care, diagnosis

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