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A neural network application to classification of health status of HIV/AIDS patients

This paper presents an application of neural networks to classify and to predict the health status of HIV/AIDS patients. A neural network model in classifying both the well and not-well health status of HIV/AIDS patients is developed and evaluated in terms of validity and reliability of the test. Se...

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Bibliographic Details
Published in:Journal of medical systems 1997-04, Vol.21 (2), p.87-97
Main Authors: Kwak, N K, Lee, C
Format: Article
Language:English
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Summary:This paper presents an application of neural networks to classify and to predict the health status of HIV/AIDS patients. A neural network model in classifying both the well and not-well health status of HIV/AIDS patients is developed and evaluated in terms of validity and reliability of the test. Several different neural network topologies are applied to AIDS Cost and Utilization Survey (ACSUS) datasets in order to demonstrate the neural network's capability.
ISSN:0148-5598
1573-689X
DOI:10.1023/A:1022890223449