AN EXPERT SYSTEM FOR THE INTELLIGENT DIAGNOSIS OF HIV/AIDs USING FUZZY CLUSTER MEANS ALGORITHM

Imianvan A.A.

AN EXPERT SYSTEM FOR THE INTELLIGENT DIAGNOSIS OF HIV/AIDs USING FUZZY CLUSTER MEANS ALGORITHM

Imianvan A.A. * §

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uchenna.anosike

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Dr. Obi J.C.

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§ University of Benin, Edo State

AN EXPERT SYSTEM FOR THE INTELLIGENT DIAGNOSIS OF HIV/AIDs USING FUZZY CLUSTER MEANS ALGORITHM

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Abstract

Abstracts -Human Immunodeficiency Virus (HIV) is a retrovirus that causes Acquired Immune Deficiency syndrome (AIDS) by infecting helper T cells or Lymphocyte of the immune system. HIV is transmitted primarily by exposure to contaminated body fluids, especially blood and semen. Other means of transmission of HIV include sharing contaminated sharp objects and blood transfusion. HIV symptoms can include: headache, chronic cough, diarrhea, swollen glands, lack of energy, loss of appetite, weight loss, frequent fevers, frequent yeast infections, skin rashes, pelvic/abdominal cramps, sores on certain parts of your body and short-term memory loss. The focal point of this paper is to describe and illustrate the application of fuzzy cluster means system to the diagnosis of HIV. It involves a sequence of methodological and analytical decision steps that enhances the quality and meaning of the clusters produced. The proposed system eliminates theuncertainties often associated with analysis of HIV test data.

References

16 Cites in Article

Reference Format

O Akinyokun,F Uzoka (2004). Analysis of the Effect of HR profile on the Investment Portfolio of an Organization.
S Albayrak,M Amasyali (2003). Fuzzy C-Means Clustering on medical Diagnostic system.
Berk (2000). Moving folded proteins across the bacterial cell membrane.
Brian Landau,S,Leese (2001). Cluster Analysis.
N Cartwrigh (2003). A Theory of Measurement.
S Chow (2002). Methods in Psychological Research.
De Fazio,L Galeazzi,G (2004). Obsession, Fantasy, and the Falsely Alleged Stalking Victim.
Michael Eisen,Paul Spellman,Patrick Brown,David Botstein (1998). Cluster analysis and display of genome-wide expression patterns.
Everitt (2003). Supplemental Information 3: Historical data was retrieved from published articles (Kong et al., 2017, Yan et al., 2019).
Healthline (2011). HIV diagnosis and symptoms.
G Jantzen (1998). Unknown Title.
(2011). Devising a differential diagnosis.
David Wilson,Geoffrey Garnett (2011). Introduction to recent developments in HIV epidemic modeling.
L Yang,X Wang (2001). Lee circle threom for an ideal pseudopin-1/2 Bose gas In an external magnetic field.
Yi-Ouyang Yi-Ouyang,Yun-Ling Yun-Ling,Anding-Zhu Anding-Zhu (2007). EHM-Based Web Pages Fuzzy Clustering Algorithm.
C Yuan (2008). Figure 1: Minimum-Spanning-Tree of 462 hemagglutinin gene sequences of “Old-World”-orthopoxviruses retrieved from NCBI (March 2018)..

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Imianvan A.A., uchenna.anosike, Dr. Obi J.C.. 1970. "AN EXPERT SYSTEM FOR THE INTELLIGENT DIAGNOSIS OF HIV/AIDs USING FUZZY CLUSTER MEANS ALGORITHM". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 12).

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GJCST Volume 11 Issue 12

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST Classification I.2.1

Submission ReceivedFebruary 23, 2011
Peer Review Double Blind
Handling Editor
Accepted March 22, 2011
Published April 2, 2011

Version of record

v1.2

Issue date

July 6, 2011

Language

English

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Article Matrices

Total Score: 143

Country: Nigeria

Subject: Global Journal of Computer Science and Technology

Authors: Imianvan A.A., Anosike U.F., and Obi J.C. (PhD/Dr. count: 0)

View Count (all-time): 250

Total Views (Real + Logic): 8400

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Publish Date: 2011 04, Sat

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Total Views: 8.4K

Total Downloads: 587

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