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Published in:

Volume 3 Issue 12
December-2016
eISSN: 2349-5162

Unique Identifier

JETIR1612003

Page Number

13-15

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Title

A Collective Study on Mining Health Records

ISSN

2349-5162

Cite This Article

"A Collective Study on Mining Health Records ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 12, page no.13-15, December-2016, Available :http://www.jetir.org/papers/JETIR1612003.pdf

Abstract

In this paper the study Overall health inspection is companion essential a part of care in several countries. Distinctive the participants in hazard are very important for early notice and preventive intervention. The fundamental challenge of learning a classification model for risk forecast lies within the unlabeled knowledge that establishes the bulk of the collected dataset. There’s no ground truth for discriminating their states of health. Significantly, the unlabeled knowledge describes the contributors in health investigations whose health conditions will vary greatly from healthy to very-ill. In this paper, we tend to recommend a graph-based, semi-supervised learning algorithmic rule mentioned to as SHG-Health (Semi-supervised Heterogeneous Graph on Health) for risk predictions to categorize an increasingly developing scenario with the bulk of the information unlabeled Wide-ranging experiments supported each real health examination datasets and artificial datasets are achieved to indicate the effectiveness and strength of our procedure.

Key Words

Health examination records, semi-supervised learning, Electronic Health Records

Cite This Article

"A Collective Study on Mining Health Records ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 12, page no. pp13-15, December-2016, Available at : http://www.jetir.org/papers/JETIR1612003.pdf

Publication Details

Published Paper ID: JETIR1612003
Registration ID: 160550
Published In: Volume 3 | Issue 12 | Year December-2016
DOI (Digital Object Identifier):
Page No: 13-15
ISSN Number: 2349-5162

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Cite This Article

"A Collective Study on Mining Health Records ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 12, page no. pp13-15, December-2016, Available at : http://www.jetir.org/papers/JETIR1612003.pdf




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