A Neural Network Application to Classification of Health Status of HIV/AIDS Patients

Authors:
N. K. Kwak;Changwon Lee
Affiliations:
-;Saint Louis University, School of Business and Administration, Dept. of Decision Sciences and MIS, 3674 Lindell Blvd., St. Louis, Missouri 63108
Venue:
Journal of Medical Systems
Year:
1997

Citing 0
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Abstract

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.