An Application of Linear Programming Discriminant Analysis to Classifying and Predicting the Symptomatic Status of HIV/AIDS Patients

Authors:
N. K. Kwak;Seong Ho Kim;Chang W. Lee;Tae Sung Choi
Affiliations:
Department of Decision Sciences and MIS, St. Louis University, St. Louis, Missouri 63108/ kwakn@slu.edu;Department of Decision Sciences and MIS, St. Louis University, St. Louis, Missouri 63108;Department of Business Administration, Chinju National University, Chinju 660-758, South Korea;School of Business and Economics, Inha University, Inchon 402-751, South Korea
Venue:
Journal of Medical Systems
Year:
2002

Citing 2
Cited 2

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Abstract

This study presents an application of linear programming discriminant analysis (LPDA) to classify and to predict the symptomatic status of HIV/AIDS patients. We applied LPDA as well as several traditional discriminant analysis methods to the AIDS Cost and Services Utilization Survey data set in order to demonstrate the use of LPDA to classify the symptomatic status of HIV/AIDS patients. The potential benefit of LPDA in terms of the classification accuracy was also analyzed.