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Published in:

Volume 7 Issue 7
July-2020
eISSN: 2349-5162

Unique Identifier

JETIR2007126

Page Number

1021-1026

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Title

Good physician’s prediction For Healthcare Planning using Big Data Analytics

ISSN

2349-5162

Cite This Article

"Good physician’s prediction For Healthcare Planning using Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.1021-1026, July-2020, Available :http://www.jetir.org/papers/JETIR2007126.pdf

Abstract

The fast growing field of big data analysis has started to play a fundamental role in the evolution of healthcare research. The huge data growth in biomedical and healthcare businesses, accurate analysis of medical data benefits from early detection, patient care, and community services .It has provided tools to analyze, manage and assimilate large volumes of big data produced by current healthcare systems. Data analysis has recently been applied to help the disease delivery and treatment process. This proposed system rationalizes machine learning algorithms to effectively predict the physician outbreaks in disease-frequent communities we are experimenting with the modified predictive models with real hospital data.

Key Words

Big data, Open data, Decision Tree, Multidisciplinary diagnosis

Cite This Article

"Good physician’s prediction For Healthcare Planning using Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp1021-1026, July-2020, Available at : http://www.jetir.org/papers/JETIR2007126.pdf

Publication Details

Published Paper ID: JETIR2007126
Registration ID: 235182
Published In: Volume 7 | Issue 7 | Year July-2020
DOI (Digital Object Identifier):
Page No: 1021-1026
ISSN Number: 2349-5162

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Cite This Article

"Good physician’s prediction For Healthcare Planning using Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp1021-1026, July-2020, Available at : http://www.jetir.org/papers/JETIR2007126.pdf




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