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Updated: Jun 18, 2026

An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)
Published on: January 27, 2010
Anesthesia outcome prediction
Zhibin Tan1, Romeo Kaddoum, Le Yi Wang
1Department of Electrical and Computer Engineering, Wayne State University, Detroit, Michigan 48202, USA. au6063@wayne.edu
Abstract:
This paper studies the problem of outcome prediction in anesthesia procedures. Anesthesia depth and blood pressures are used as typical outcomes in this study. Traditional diagnosis and control in anesthesia focus on a one-drug-one-outcome scenario. It is well understood, however, that consideration of multiple outcomes is necessary and beneficial for anesthesia managements. This paper introduces a method of modeling that significantly reduces the complexity of the problem and yet retains model accuracy. Utility of the modeling method is demonstrated in the areas of anesthesia outcome prediction and decision assistance.
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