UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 4 Issue 6
June-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1706026


Registration ID:
170404

Page Number

122-124

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Title

Heuristic Approach for Health Mining Using Graph Database

Abstract

This paper on health mining is all about the large amount of electronic health records and handling large amount of voluminous data. To overcome this problem we have to convert these voluminous electronic health records into equivalent graphs. The methodologies that we use in this data mining, KDD and Artificial neural networks . Many system related to health mining are having performance issues regarding he detection of health mining. So this paper proposes an idea on health mining. So here we are going to perform health mining and give subsequent graphs related to a patient’s disease along with the risk prediction. The only disadvantage that we face is that sometimes our software Neo4j won’t be able to convert voluminous data into equivalent semi-supervised heterogeneous graphs.

Key Words

Data mining, electronic health records, graph based approach

Cite This Article

"Heuristic Approach for Health Mining Using Graph Database", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 6, page no.122-124, June-2017, Available :http://www.jetir.org/papers/JETIR1706026.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Heuristic Approach for Health Mining Using Graph Database", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 6, page no. pp122-124, June-2017, Available at : http://www.jetir.org/papers/JETIR1706026.pdf

Publication Details

Published Paper ID: JETIR1706026
Registration ID: 170404
Published In: Volume 4 | Issue 6 | Year June-2017
DOI (Digital Object Identifier):
Page No: 122-124
Country: lonavala, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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