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Analysing the supervised learning methods for prediction of healthcare data in cloud environment: A Survey

N.M. Annigeri1 , S. Shetty2 , A.P. Patil3

  1. Department of Computer Science and Engineering, Ramaiah Institute of Technology, Bengaluru-54, Karnataka, India.
  2. Department of Computer Science and Engineering, Ramaiah Institute of Technology, Bengaluru-54, Karnataka, India.
  3. Department of Computer Science and Engineering, Ramaiah Institute of Technology, Bengaluru-54, Karnataka, India.

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-3 , Page no. 434-438, Mar-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i3.434438

Online published on Mar 30, 2018

Copyright © N.M. Annigeri, S. Shetty, A.P. Patil . 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: N.M. Annigeri, S. Shetty, A.P. Patil , “Analysing the supervised learning methods for prediction of healthcare data in cloud environment: A Survey,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.434-438, 2018.

MLA Style Citation: N.M. Annigeri, S. Shetty, A.P. Patil "Analysing the supervised learning methods for prediction of healthcare data in cloud environment: A Survey." International Journal of Computer Sciences and Engineering 6.3 (2018): 434-438.

APA Style Citation: N.M. Annigeri, S. Shetty, A.P. Patil , (2018). Analysing the supervised learning methods for prediction of healthcare data in cloud environment: A Survey. International Journal of Computer Sciences and Engineering, 6(3), 434-438.

BibTex Style Citation:
@article{Annigeri_2018,
author = {N.M. Annigeri, S. Shetty, A.P. Patil },
title = {Analysing the supervised learning methods for prediction of healthcare data in cloud environment: A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2018},
volume = {6},
Issue = {3},
month = {3},
year = {2018},
issn = {2347-2693},
pages = {434-438},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1823},
doi = {https://doi.org/10.26438/ijcse/v6i3.434438}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i3.434438}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1823
TI - Analysing the supervised learning methods for prediction of healthcare data in cloud environment: A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - N.M. Annigeri, S. Shetty, A.P. Patil
PY - 2018
DA - 2018/03/30
PB - IJCSE, Indore, INDIA
SP - 434-438
IS - 3
VL - 6
SN - 2347-2693
ER -

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Abstract

In the present era of massive usage of computers, an enormous set of data is being generated from different organizations each day, each hour and each second. This data would be of prodigious use to a diverse set of people based on their needs. Predictive analysis is a process of analysing data and identifying the different patterns in it, so as to predict the occurrence of these patterns in future. The predicted output can help plan a new strategy and adopt innovative solutions for the decision making. This paper attempts to analyse the various predictive models which are applied in the healthcare domain. These models are analysed in depth and will be proposed to be available on the cloud environment in future and can be accessed by those concerned for potential analysis.

Key-Words / Index Term

Predictive modeling, predictive algorithms, predictive analytics in a cloud environment, supervised learning

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