System theoretic approach to medical diagnosis
- 10 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
A mathematical model for an adaptive expert system in anesthesia is presented. The concept of clusters that utilize clinical attributes in order to reduce the dimensionality of the patient's state-space is introduced. One goal of the model is to implement the existing categories and to identify and cluster categories as well as make the system adaptive to new and more optimal categories. Well-known techniques of pattern classification and cluster analysis are used on the measurable dataset to look for new categories or to readjust existing ones. Readjustment is required to optimize the existing categories to give the most efficient classification of the diseases Author(s) Nevo, I. Dept. of Anesthesiology, Albert Einstein Med. Center, Philadelphia, PA, USA Guez, A. ; Ahmed, F. ; Roth, J.V.Keywords
This publication has 4 references indexed in Scilit:
- Anesthesiologist's Adaptive Associate (ANAA)Published by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A new patient's status indicator to facilitate decision making in anesthesiaPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A STRATEGY FOR PREVENTING ANESTHESIA ACCIDENTSInternational Anesthesiology Clinics, 1989
- An Architecture for Intelligent Interfaces: Outline of an Approach to Supporting Operators of Complex SystemsHuman–Computer Interaction, 1987