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Artificial Neural Networks- A Review of Applications of Neural Networks in the Modeling of HIV Epidemic

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 44 - Number 16
Year of Publication: 2012
Authors:
Wilbert Sibanda
Philip Pretorius
10.5120/6344-7438

Wilbert Sibanda and Philip Pretorius. Article: Artificial Neural Networks- A Review of Applications of Neural Networks in the Modeling of HIV Epidemic. International Journal of Computer Applications 44(16):1-4, April 2012. Full text available. BibTeX

@article{key:article,
	author = {Wilbert Sibanda and Philip Pretorius},
	title = {Article: Artificial Neural Networks- A Review of Applications of Neural Networks in the Modeling of HIV Epidemic},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {44},
	number = {16},
	pages = {1-4},
	month = {April},
	note = {Full text available}
}

Abstract

Neural networks have been applied successfully to a broad range of fields such as finance, data mining, medicine, engineering, geology, physics and biology. In finance, neural networks have been used for stock market prediction, credit rating, bankruptcy prediction and economic indicator forecasts. In medicine, neural networks have been used extensively in medical diagnosis, detection and evaluation of medical conditions and treatment cost estimation. Furthermore, neural networks have found application in data mining projects for the purposes of prediction, classification, knowledge discovery, response modeling and time series analysis. This review paper will present the application of neural networks to the study of HIV. HIV research falls into four broad areas namely, behavioral research, diagnostic research, vaccine research and biomedical research. Most of the research publications featured in this review paper emanate from the four broad HIV research areas and will be presented in three categories namely prediction, classification and function approximation.

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