Extrinsic evolution of fuzzy systems applied to disease diagnosis

Rossier, Joël (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Peña-Reyes, Carlos Andrés (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland)

From quite some time, biologists have been gathering big amounts of biomarker data from patients suffering specific illnesses and from healthy people. Their problem now lies in the processing of that huge amount of data that will enable them extracting meaningful information about the links and thus the rules enabling a diagnosis based on specific biomarkers. In this paper we propose an approach to this problem using fuzzy logic to model the diagnostic systems and evolutionary computing to find such systems. Moreover, the speed of execution of the proposed design which is based on several Virtex5 FPGAs with respect to a standard software computation, enables the realization of thousands of successive evolutionary runs within a reasonable time and thus permits to obtain robust statistical information enabling the selection of meaningful biomarkers for the diagnosis of specific diseases.


Faculty:
Ingénierie et Architecture
School:
HEIG-VD
Institute:
IICT - Institut des Technologies de l'Information et de la Communication
ReDS - Reconfigurable & embedded Digital Systems
Publisher:
Berlin, Heidelberg, Springer
Date:
2010-06
Berlin, Heidelberg
Springer
Pagination:
2 p.
Published in:
Lecture Notes in Computer Science
Series Statement:
Lectures notes in computer science (LNCS), vol. 6274
Author of the book:
Tempesti, Gianluca ; Department of Electronics, Intelligent Systems Group, University of York, York, United Kingdom
Tyrrell, Andy M. ; Department of Electronics, Intelligent Systems Group, University of York, York, United Kingdom
Miller, Julian F. ; Department of Electronics, Intelligent Systems Group, University of York, York, United Kingdom
DOI:
ISSN:
0302-9743
ISBN:
978-3-642-15322-8
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2020-02-11, last modified 2020-02-13

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