A fuzzy discrete event system for HIV/AIDS treatment

Xiaodong Luan, Hao Ying, Feng Lin, Rodger David MacArthur, Jonathan A. Cohn, Daniel C. Barth-Jones, Hong Ye, Lawrence R. Crane

Research output: Contribution to journalConference article

10 Citations (Scopus)

Abstract

The United Nations estimates that 38 million people worldwide are infected with HIV/AIDS, and that more than 22 million have died. Like most diseases, treatment decision-making for this disease is currently more an art than science. This is partially because every patient is unique, with his/her own history, set of genetic traits, predisposition to side effects, and prognosis. We reported previously how we had developed a theoretical framework of novel fuzzy discrete event systems, which are knowledge-based [1, 2]. We showed how to apply it to develop a part of HIV/AIDS regimen selection system for treating antiretroviral-naïve patients [3, 4]. In the present paper, we describe our recent development - we have furthered the system design by adding a Genetic-Algorithm-Based Regimen Selection Optimizer and a Treatment Objectives Classifier to the system. The full system is capable of prescribing a regimen for any given patient. The Optimizer enables the system to either emulate an individual doctor's decision-making or generate a regimen that simultaneously satisfies diverse treatment preferences of multiple physicians to the maximum extent. We show the promising preliminary results of retrospective evaluation of the system using 48 treatment-naïve patients who started antiretroviral treatment in our AIDS Clinic in 2001. Our fuzzy DES approach possesses a number of unique features and advantages that are especially important to medical applications: (1) higher flexibility and scalability, and (2) easier knowledge upgrade for accommodating fast treatment strategy evolution with minimal system modification. These are particularly important to HIV/AIDS treatment as the U.S. Public Health Service updates its treatment guidelines at least once a year.

Original languageEnglish (US)
Pages (from-to)167-172
Number of pages6
JournalIEEE International Conference on Fuzzy Systems
StatePublished - Sep 1 2005
EventIEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2005 - Reno, NV, United States
Duration: May 22 2005May 25 2005

Fingerprint

Discrete Event Systems
Discrete event simulation
Decision making
Patient treatment
Medical applications
Public health
Scalability
Classifiers
Genetic algorithms
Systems analysis
Decision Making
Public Services
Health Services
Medical Applications
Evolution Strategies
Prognosis
Public Health
Knowledge-based
System Design
Update

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Luan, X., Ying, H., Lin, F., MacArthur, R. D., Cohn, J. A., Barth-Jones, D. C., ... Crane, L. R. (2005). A fuzzy discrete event system for HIV/AIDS treatment. IEEE International Conference on Fuzzy Systems, 167-172.

A fuzzy discrete event system for HIV/AIDS treatment. / Luan, Xiaodong; Ying, Hao; Lin, Feng; MacArthur, Rodger David; Cohn, Jonathan A.; Barth-Jones, Daniel C.; Ye, Hong; Crane, Lawrence R.

In: IEEE International Conference on Fuzzy Systems, 01.09.2005, p. 167-172.

Research output: Contribution to journalConference article

Luan, X, Ying, H, Lin, F, MacArthur, RD, Cohn, JA, Barth-Jones, DC, Ye, H & Crane, LR 2005, 'A fuzzy discrete event system for HIV/AIDS treatment', IEEE International Conference on Fuzzy Systems, pp. 167-172.
Luan X, Ying H, Lin F, MacArthur RD, Cohn JA, Barth-Jones DC et al. A fuzzy discrete event system for HIV/AIDS treatment. IEEE International Conference on Fuzzy Systems. 2005 Sep 1;167-172.
Luan, Xiaodong ; Ying, Hao ; Lin, Feng ; MacArthur, Rodger David ; Cohn, Jonathan A. ; Barth-Jones, Daniel C. ; Ye, Hong ; Crane, Lawrence R. / A fuzzy discrete event system for HIV/AIDS treatment. In: IEEE International Conference on Fuzzy Systems. 2005 ; pp. 167-172.
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