ERUDIT-Workshop
Fuzzy Diagnostic and Therapeutic Decision Support
11–12 May 2000, Vienna, Austria

Abstract

Fuzzy Logic Pharmacokinetic Modeling

I. Burhan Türksen¹, Beth A. Sproule^2,3,4, Kemal Kilic¹, and Claudio A. Naranjo^2,4,5,6

¹Department of Mechanical and Industrial Engineering
University of Toronto, 5 King's College Road, Toronto, Ontario, Canada, M5S 3G8

e-mail: turksen@mie.utoronto.ca

²Psychopharmacology Research Program, SWCHSC
2075 Bayview Ave., Toronto, Ontario M4N 3M5

³Faculty of Pharmacy
University of Toronto, 19 Russell Street, Toronto, Ontario M5S 2S2

⁴Department of Psychiatry
Clarke Institute of Psychiatry, 250 College Street, Toronto, Ontario M5T 2R8

⁵Department of Pharmacology
Medical Sciences Building, 1 King's College Circle, Toronto, Ontario M5S 1A8

⁶Department of Medicine
Toronto General Hospital, 585 University Avenue, Toronto, Ontario M5G 2C4

Abstract. In this paper we demonstrated that fuzzy logic modeling is an appropriate tool for modeling alprazolam kinetics. Furthermore, we proposed a modification to the conventional fuzzy modeling technique and demonstrate its improvement to the performance in terms of prediction error.

(In: Adlassnig, K.-P. (ed.) Fuzzy Diagnostic and Therapeutic Decision Support. Proc. of the ERUDIT Workshop, Österreichische Computer Gesellschaft, Vienna, p.19.)