A Review on Cloud Framework for Healthcare Analytics

Authors

  • DL Joshi Dept. of Computer Engineering, MPSTMEMukesh Patel School of Technology Management and Engineering Shirpur, SVKM’s NMIMS (Deemed-to-be-University), Mumbai, India
  • MA Joshi Dept. of Applied Mathematics, Mukesh Patel School of Technology Management and Engineering Shirpur, SVKM’s NMIMS (Deemed-to-be-University), Mumbai, India
  • AA Dande Dept. of CSE, Anuradha Engineering College, Chikhli, SGBAU, Amravati, India
  • P Wararkar dj4query@gmail.com

DOI:

https://doi.org/10.26438/ijcse/v5i7.131134

Keywords:

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

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.

References

Literature by Swami Vivekananda.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

Downloads

Published

2025-11-11
CITATION
DOI: 10.26438/ijcse/v5i7.131134
Published: 2025-11-11

How to Cite

[1]
D. Joshi, M. Joshi, A. Dande, and P. Wararkar, “A Review on Cloud Framework for Healthcare Analytics”, Int. J. Comp. Sci. Eng., vol. 5, no. 7, pp. 131–134, Nov. 2025.

Issue

Vol. 5 No. 7 (2017): IJCSE July Edition

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.