UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRCU06003


Registration ID:
217896

Page Number

10-16

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Title

Predictive Models of HIV/AIDS Epidemic Status using Data Mining Techniques: A Review

Abstract

Data Mining plays an important role in detecting new trends in the organization of health care, which in turn helps all the parties involved in this field. For the healthcare sector, data mining is important in identifying and detecting diseases, helping researchers develop effective healthcare policies, developing recommendation systems and patient health profiles. There are difficulties in evaluating the large data generated in the healthcare sector used to discover knowledge and to find decision - making patterns. Health care data in the diagnosis, management and treatment of diseases need to be analyzed accurately. In this paper, we reviewed the techniques of data mining, its processes, tools, HIV / AIDS related work and the health care system. The purpose of this paper is to provide insight into health domain requirements and the appropriate choice of available technique, as well as to understand data mining and its importance in health care organizations.

Key Words

Data mining, KDD, SEMMA, CRISP-DM, Clas- sification, Prediction, Clustering, Association, Neural networks, HIV/AIDS.

Cite This Article

"Predictive Models of HIV/AIDS Epidemic Status using Data Mining Techniques: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.10-16, May 2019, Available :http://www.jetir.org/papers/JETIRCU06003.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

"Predictive Models of HIV/AIDS Epidemic Status using Data Mining Techniques: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp10-16, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06003.pdf

Publication Details

Published Paper ID: JETIRCU06003
Registration ID: 217896
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 10-16
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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