PMID- 12182207
OWN - NLM
STAT- MEDLINE
DCOM- 20020917
LR  - 20190922
IS  - 0148-5598 (Print)
IS  - 0148-5598 (Linking)
VI  - 26
IP  - 5
DP  - 2002 Oct
TI  - An application of linear programming discriminant analysis to classifying and 
      predicting the symptomatic status of HIV/AIDS patients.
PG  - 427-38
AB  - 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.
FAU - Kwak, N K
AU  - Kwak NK
AD  - Department of Decision Sciences and MIS, St. Louis University, Missouri 63108 
      USA. kwakn@slu.edu
FAU - Kim, Seong Ho
AU  - Kim SH
FAU - Lee, Chang W
AU  - Lee CW
FAU - Choi, Tae Sung
AU  - Choi TS
LA  - eng
PT  - Comparative Study
PT  - Journal Article
PL  - United States
TA  - J Med Syst
JT  - Journal of medical systems
JID - 7806056
SB  - IM
MH  - Diagnosis, Computer-Assisted
MH  - *Discriminant Analysis
MH  - Female
MH  - HIV Infections/classification/*physiopathology
MH  - Humans
MH  - Male
MH  - *Programming, Linear
MH  - Severity of Illness Index
EDAT- 2002/08/17 10:00
MHDA- 2002/09/18 10:01
CRDT- 2002/08/17 10:00
PHST- 2002/08/17 10:00 [pubmed]
PHST- 2002/09/18 10:01 [medline]
PHST- 2002/08/17 10:00 [entrez]
AID - 10.1023/a:1016496916732 [doi]
PST - ppublish
SO  - J Med Syst. 2002 Oct;26(5):427-38. doi: 10.1023/a:1016496916732.