Title :
Application of the extended fuzzy discrete event systems theory to HIV/AIDS treatment regimen selection
Author :
Wongsopanakul, Kiatisak ; Ji, Yanqing ; Du, Xinyu ; Lin, Feng ; Ying, Hao
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
Abstract :
Selecting an appropriate treatment regimen for an HIV-infected patient is a significant problem. We previously developed a regimen selection system for the first-round HIV/AIDS treatment based on the fuzzy discrete event systems (FDES) theory where type-1 fuzzy sets are used to represent experts´ consensus. In clinical practice, different experts may have their own distinct knowledge and expertise and it is often difficult for them to reach a consensus. In a recent paper, we presented our extended fuzzy discrete event systems (EFDES) theory in which type-2 fuzzy sets were utilized to capture and represent diverse expertise of different experts. In the present paper, an EFDES-based HIV/AIDS regimen selection system is constructed and its performance is evaluated using 35 patients. We focus on three different scenarios to equip the new system with the capabilities of handling higher levels of uncertainties, which is impossible under the FDES framework. The regimens selected by the EFDES-based system match the actual prescribed regimens for these patients over 80% of the time. While the matching rates are about the same as achieved by the FDES-based system, they are obtained under more realistic conditions, and hence more practical.
Keywords :
discrete event systems; fuzzy reasoning; fuzzy set theory; fuzzy systems; medical computing; patient treatment; uncertainty handling; HIV/AIDS patient treatment regimen selection; extended fuzzy discrete event system; type-2 fuzzy set; uncertainty handling; Acquired immune deficiency syndrome; Discrete event systems; Drugs; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Human immunodeficiency virus; Information processing; Medical treatment; HIV/AIDS treatment; fuzzy discrete event systems; fuzzy logic; type-2 fuzzy sets;
Conference_Titel :
Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4244-4575-2
Electronic_ISBN :
978-1-4244-4577-6
DOI :
10.1109/NAFIPS.2009.5156390