ISSN2320-2882
Impact Factor9.17
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ESTD2013
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Paper Title

Big Data Analytics for Healthcare Prediction Systems

Authors

Nikita Ashok Pawar , Shweta Rajendra Hate , Saliha Anwar Alekar , Atique Rafique Kapdi , Prof. Mrs. Avni Anup Amburle

Keywords

Big data analytics

Abstract

The rapid growth of healthcare data from electronic health records, wearable devices, and medical imaging has led to the emergence of Big Data Analytics in healthcare. This paper explores how big data techniques are used to predict diseases, improve patient outcomes, and enhance decision-making. It highlights technologies, methodologies, applications, and challenges associated with healthcare prediction systems. The study concludes that predictive analytics plays a vital role in transforming modern healthcare systems.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJCRT — journal style
"Big Data Analytics for Healthcare Prediction Systems", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.h511-h514, April 2026, Available :https://ijcrt.org/papers/IJCRT2604876.pdf
APA — 7th edition
Pawar, N. A., Hate, S. R., Alekar, S. A., Kapdi, A. R., & Amburle, A. A. (2026). Big Data Analytics for Healthcare Prediction Systems. International Journal of Creative Research Thoughts, 14(4), h511-h514. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604876
MLA — 9th edition
Pawar, Nikita Ashok, et al. "Big Data Analytics for Healthcare Prediction Systems." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. h511-h514, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604876.
Chicago — 17th, bibliography
Pawar, Nikita Ashok, et al. "Big Data Analytics for Healthcare Prediction Systems." International Journal of Creative Research Thoughts 14, no. 4 (2026): h511-h514. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604876.
Harvard — author–date
Pawar, N.A. et al. (2026) 'Big Data Analytics for Healthcare Prediction Systems', International Journal of Creative Research Thoughts, 14(4), pp. h511-h514. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604876
IEEE — numbered reference
N. A. Pawar, S. R. Hate, S. A. Alekar, A. R. Kapdi and A. A. Amburle, "Big Data Analytics for Healthcare Prediction Systems," IJCRT, vol. 14, no. 4, pp. h511-h514, Apr. 2026.
Vancouver — biomedical
Pawar NA, Hate SR, Alekar SA, Kapdi AR, Amburle AA. Big Data Analytics for Healthcare Prediction Systems. IJCRT. 2026 Apr;14(4):h511-h514.
AMA — 11th edition
Pawar NA, Hate SR, Alekar SA, Kapdi AR, Amburle AA. Big Data Analytics for Healthcare Prediction Systems. IJCRT. 2026;14(4):h511-h514. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604876
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2604876, author = {Nikita Ashok Pawar and Shweta Rajendra Hate and Saliha Anwar Alekar and Atique Rafique Kapdi and Avni Anup Amburle}, title = {Big Data Analytics for Healthcare Prediction Systems}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {4}, pages = {h511-h514}, year = {2026}, month = {April}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604876} }
RIS — EndNote, RefWorks
TY - JOUR AU - Pawar, Nikita Ashok AU - Hate, Shweta Rajendra AU - Alekar, Saliha Anwar AU - Kapdi, Atique Rafique AU - Amburle, Avni Anup TI - Big Data Analytics for Healthcare Prediction Systems T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 4 PY - 2026 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604876 SP - h511-h514 ER -

Issue

Volume 14 Issue 4, April-2026
Pages : h511-h514

Article Information

Pages
h511-h514
Published
April 2026
Registration ID
IJCRT_306415
Published Paper ID
IJCRT2604876
Research Area
Health Science All
Author Type
Indian Author
Location
indapur, maharashtra, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
122

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Registration ID IJCRT_306415

About Publisher

International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
2013 ESTD Year
Open Access
Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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