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A Review on Cloud Framework for Healthcare Analytics

D.L. Joshi1 , M. A. Joshi2 , A.A. Dande3 , P. Wararkar4

  1. Dept. of Computer Engineering, MPSTME, Mumbai, India.
  2. Dept. of Applied Mathematics, MPSTME, Mumbai, India.
  3. Dept. of CSE, Anuradha Engineering College, Amravati, India.
  4. Dept. of Computer Engineering, MPSTME, Mumbai, India.

Correspondence should be addressed to: dj4query@gmail.com .

Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-7 , Page no. 131-134, Jul-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i7.131134

Online published on Jul 30, 2017

Copyright © D.L. Joshi, M. A. Joshi, A.A. Dande, P. Wararkar . 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: D.L. Joshi, M. A. Joshi, A.A. Dande, P. Wararkar, “A Review on Cloud Framework for Healthcare Analytics,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.131-134, 2017.

MLA Style Citation: D.L. Joshi, M. A. Joshi, A.A. Dande, P. Wararkar "A Review on Cloud Framework for Healthcare Analytics." International Journal of Computer Sciences and Engineering 5.7 (2017): 131-134.

APA Style Citation: D.L. Joshi, M. A. Joshi, A.A. Dande, P. Wararkar, (2017). A Review on Cloud Framework for Healthcare Analytics. International Journal of Computer Sciences and Engineering, 5(7), 131-134.

BibTex Style Citation:
@article{Joshi_2017,
author = {D.L. Joshi, M. A. Joshi, A.A. Dande, P. Wararkar},
title = {A Review on Cloud Framework for Healthcare Analytics},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2017},
volume = {5},
Issue = {7},
month = {7},
year = {2017},
issn = {2347-2693},
pages = {131-134},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1378},
doi = {https://doi.org/10.26438/ijcse/v5i7.131134}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i7.131134}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1378
TI - A Review on Cloud Framework for Healthcare Analytics
T2 - International Journal of Computer Sciences and Engineering
AU - D.L. Joshi, M. A. Joshi, A.A. Dande, P. Wararkar
PY - 2017
DA - 2017/07/30
PB - IJCSE, Indore, INDIA
SP - 131-134
IS - 7
VL - 5
SN - 2347-2693
ER -

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Abstract

With the wide spread use of the internet in almost all of the fields in our day to day life, has created many new opportunities and challenges in the Data Analytics. Data Analytics deals with the methods to processes, analyze and to draw the knowledge based conclusion from the data sets obtained from various sources applied to take proper decisions for any Artificial Intelligence based systems. Big Data Analytics deals with the larger sized data analytics in terabytes or peta bytes. Presently cloud computing along with Big Data Analytics has wide spread applications in many expert systems design. In this paper we are focused on the basic conceptual model used more specifically in Health Care Analytics using cloud framework based Big Data Analytics. Based on proper data sets available, this framework will be able to make proper healthcare analysis for preventive and remedial decisions.

Key-Words / Index Term

Big Data Analytics, Artificial Intelligence, Expert System, Cloud Framework

References

[1] Literature by Swami Vivekananda.
[2] M. Ojha, Dr. K. Mathur, “Proposed Application of Big Data Analytics in Healthcare at Maharaja Yashwantrao Hospital”, 3rd MEC International Conference on Big Data and Smart City, Muscat, Oman, pp 1-7, 2016.
[3] Mohd.A. Salam, A.C. Pandey, "Mobile Cloud Computing: Taking Web-Based Mobile Applications to the Cloud", International Journal of Computer Sciences and Engineering, Vol.2, Issue.1, pp.35-42, 2014.
[4] N. Godbole, J. Lamb, “Using Data Science and Big Data Analytics to Make Healthcare Green”, IEEE 12th International Conference & Expo on Emerging Technologies for a Smarter World (CEWIT), Melville USA, pp 1-6, 2015.
[5] R. Jangade, R. Chauhan, “Big Data with Integrated Cloud Computing for Healthcare Analytics”, IEEE 3rd International Conference on Computing for Sustainable Global Development, New Delhi India, pp 4068-4071, 2016.
[6] LO’AI A. Tawalbeh, R. Mehmood, E. Benkhlifa,H Song, “Mobile Cloud Computing Model and Big Data Analysis for Health Applications”, IEEE Access, vol 4, pp 6171-6180, 2016.
[7] U. Dhanaliya, A. Devyani, “Implementation of E-Healthcare System using Web Services and Cloud Computing”, IEEE International Conference on Communication and Signal Processing, Melmaruvathur India, pp 1034-1036, 2016
[8] S.Jayasri, D.Karthika, "Microcontroller Based Traffic and Road Condition Monitoring Alert System Using Internet of Things", International Journal of Computer Sciences and Engineering, Vol.4, Issue.4, pp.272-279, 2016.
[9] P Mell, T Grance, “The nist definition of cloud computing”, Nist special publication 800-145(final), Technical report, Tech Rep.,2011.Available:http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf.
[10] R. Kaur, R. Garg, H. Aggarwal, “Big Data Analytics Framework to identify Crop Diseases and Recommendation a Solution”, IEEE International conference on Inventive Computation Technologies (ICICT), Coimbatore, India. pp 1-5, 2016.
[11] P. Mathew, A. Pillai, “Big Data Solutions in Healthcare: Problems and Perspectives”, IEEE 2nd International conference on Innovations in Information Embedded and communication Systems, ICIIECS, Coimbatore, India pp 1-6, 2015.