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A journey trough clinical applications of multimethod decision trees

9th Conference on Artificial Intelligence on in Medicine in Europe, AIME 2003

作者： Povalej, Petra Lenič, Mitja Štiglic, Milojka Molan Kavalar, Maja Skerbinjek Završnik, Jernej Kokol, Peter Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor SI-2000 Maribor Slovenia Adolf Drolc Health Centre SI-2000 Maribor Slovenia Department of Paediatric Surgery Maribor Teaching Hospital SI-2000 Maribor Slovenia

ISBN: (纸本)3540201297

We present a journey through successful applications of multimethod approach to induction of decision trees in knowledge extraction, discovery of new knowledge and early diagnosis on the cases of asthma, cardiovascular problems and mitral valve prolapse. The results show that the multimethod approach is a powerful and promising technique enabling the conformation of existing medical knowledge and more interestingly, also enables the induction of new facts and hypothesis, which can reveal some new interesting patterns and possibly improve the existing medical knowledge. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Decision trees

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Fault detection of non-linear systems based on multi-form quasi-armax modeling and its application to the ship benchmark 13

Fault detection of non-linear systems based on multi-form qu...

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13th IFAC Symposium on system Identification, SYSID 2003

作者： Kumamaru, K. Inoue, K. Hosoyamada, Y. Söerström, T. Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Fukuoka Iizuka820-8502 Japan Department of Automatic Control and System Analysis Institute of Technology Uppsala University P.O.Box 27 Uppsala Sweden

This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the system non-linearity is incorporated into model parameters by using non-linear non-parametric models (NNMs). Kullback discrimination Information (KDI) is introduced as fault detection index to evaluate the distortion in identified model, which is caused by a fault. The effectiveness of the method is verified through simulation studies on the ship propulsion system. © 2003 International Federation of Automatic Control.

关键词： Fault detection

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Multimethod machine learning approach for medical diagnosing

Multimethod machine learning approach for medical diagnosing

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： M. Lenic P. Povalej M. Zorman V. Podgorelec P. Kokol L. Lhotska Laboratory for system design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Gerstner Lab Faculty of Electrical Engineering Czech Technical University Czech Republic

In this paper we present a multimethod approach for induction of a specific class of classifiers, which can assist physicians in medical diagnosing in the case of mitral valve prolapse. Mitral valve prolapse is one of the most controversial prevalent cardiac condition and may affect up to ten percent of the population and in the worst case results in sudden death. MultiVeDec is a general framework enabling researchers to generate various intelligent tools based on machine learning. In this paper we focused on various decision tree methods, which are capable of extracting knowledge in a form closer to human perception, a feature that is very important in medical field. The experiment included classifiers with various classical single method approaches, evolutionary approaches, hybrid approaches and also our newest multimethod approach. The main concern of the latest approach is to rind a way to enable dynamic combination of methodologies to the somehow quasi unified knowledge representation. The proposed multimethod approach was capable to outperform all other tested approaches by producing classifier for diagnosing mitral valve prolapse with the highest overall and average class accuracy.

关键词： Machine learning Medical diagnosis Valves Decision trees Medical diagnostic imaging Humans Knowledge representation Classification tree analysis Blood flow Laboratories

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Intelligent data analysis of human bone density

Intelligent data analysis of human bone density

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Annual IEEE Symposium on computer-Based Medical systems

作者： P. Povalej M. Lenic M. Zorman P. Kokol M.G.E. Peterson J.M. Lane Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Hospital for Special Surgery New York NY USA

In this paper we present the results of an intelligent analysis of osteoporosis database gathered during a longitudinal study in which a random sample of 100 women who had passed precautionary examinations for detection of osteoporosis over five years and were not referred for a definite medical diagnosis was pulled from the records. The intelligent data analysis using advanced methods for decision tree construction was used in order to try to find the main factors that can reduce the risk for development of osteoporosis in women. Most of the extracted knowledge confirmed known medical criteria that put women to risk for osteoporosis, however some new interesting patterns have also been shown.

关键词： Data analysis Humans Osteoporosis Medical diagnostic imaging Bones Decision trees Minerals Databases Medical diagnosis Decision making

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Intelligent platform for automatic medical knowledge acquisition: detection and understanding of neural dysfunctions

Intelligent platform for automatic medical knowledge acquisi...

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Annual IEEE Symposium on computer-Based Medical systems

作者： M. Zorman P. Kokol M. Lenic P. Povalej B. Stiglic D. Flisar Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Centre for interdisciplinary and multidisciplinary research and studies CIMRS Maribor Slovenia

The use of intelligent systems and machine learning methods, capable of automatic decision making based on already solved cases, and data mining, are getting more and more popular. Here we are faced not only with technical problems, but also with limited confidence in machine learning techniques. In some cases methods that may explicitly show the deduction process are not powerful enough. One of the possibilities is to modify/improve the methods so that the users could easily follow the process of decision making. To solve this problem, a few years ago we started to develop a platform, which enables us to develop, test and use different kinds of hybrid methods. These are meant to combine the advantages of the integrated methods-e.g., power and knowledge representation-that contribute to the quality of the acquired knowledge. In this paper we present a way of using the developed platform in order to obtain new knowledge, based on results from neurophysiological measurements We are every pleased with the performance of our intelligent platform. The first results we obtained already show some improvement in comparison to classic machine learning approaches.

关键词： Knowledge acquisition Electroencephalography Learning systems Decision making Intelligent systems Machine learning Data mining Testing Knowledge representation Nervous system

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Distributed simulation with cots simulation packages

Distributed simulation with cots simulation packages

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Proceedings of the 2003 Winter Simulation Conference: Driving Innovation

作者： Boer, Csaba Attila Verbraeck, Alexander Erasmus University of Rotterdam Faculty of Economies Dept. of Computer Science P.O. Box 1738 3000 DR Rotterdam Netherlands Delft University of Technology Fac. of Technol. Plcy./Management System Engineering Department P.O. Box 5105 2600 GA Delft Netherlands

Connecting COTS (Commercial-off-the-Self) simulation packages entails various difficulties. First of all, commercially available simulation packages hide the access to some internal data that is needed to connect to other simulation models in the distributed simulation study. Next, the data sharing between simulation models is complicated. In order to carry out distributed simulation studies applying COTS simulation packages, we have to exactly define the interfacing and data transfer mechanisms. In this paper we present a theoretical description of different solutions for interfacing and transferring data between various simulation models. These mechanisms have been implemented and tested, and applied in a project in order to prove their practical usage.

关键词： Distributed computer systems

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Dynamic analysis of facial color by using the force feedback system for virtual arm wrestling

Dynamic analysis of facial color by using the force feedback...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： T. Yamada T. Watanabe Electronic Mechanical Engineering Department Yuge National College of Maritime Technology Ochi Ehime Japan Faculty of Computer Science and System Engineering Okayama Prefectural University CREST of Japan Science and Technology Agency Okayama Japan

In this paper, we develop a 4-DOF force display system for the analysis by synthesis of facial color for the interaction with anthropomorphic agent. By using the system, we analyze the changes in facial skin temperature and facial color associated with circulation dynamics in response to forced actions. On the basis of the analysis, we propose a synthetic method for the affect display of virtual face with facial color and expression in force display, and the effectiveness of the method is confirmed. Finally, we develop a prototype of virtual arm wrestling system with anthropomorphic agent using synthesized dynamic three-dimensional facial color and expression.

关键词： Force feedback Image color analysis computer displays Valves Humans Skin Virtual prototyping Force sensors Drives Torque

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Generalized derivations of associative algebras

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Quaestiones Mathematicae 2003年第2期26卷 213-235页

作者： Komatsu, Hiroaki Nakajima, Atsushi Faculty of Computer Science and System Engineering Okayama Prefectural University Soja Okayama 719-1197 Japan Department of Mathematical Science Faculty of Environmental Science and Technology Okayama University Tsushima Okayama 700-8530 Japan

In their paper [6], Leger and Luks introduced the notion of a gener- alized derivation in nonassociative algebras and got several results for generalized derivations of Lie algebras. This generalized derivation is closely related to Brešar’s and the second author’s generalized derivations in associative rings. In this note, we discuss the relations of these generalized derivations. © 2003, Taylor & Francis Group, LLC. All rights reserved.

关键词： Generalized derivation Matrix ring

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Analysing heart attack survival using intelligent systems

Analysing heart attack survival using intelligent systems

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computers in Cardiology (CinC)

作者： P. Kokol P. Povalej Z. Pehnec Laboratory for System Design and Centre for Interdisciplinary and Multidisciplinary Research and Studies Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Critical Care Unit General Hospital of Maribor Maribor Slovenia

A successful application of a new intelligent system design approach called Multimethod in knowledge extraction and discovery in heart attack areas is presented in this paper. The results show that the Multimethod approach is a powerful and promising technique enabling the conformation of existing medical knowledge and more interestingly, also enabling the induction of new facts and hypothesis, which can reveal some new interesting patterns and possibly improve the existing medical knowledge.

关键词： Cardiac arrest Intelligent systems Medical diagnostic imaging Decision trees Neural networks Data analysis Learning systems Machine learning computer science Hospitals

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Fault detection of non-linear systems based on multi-form quasi-armax modeling and its application to the ship benchmark

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IFAC Proceedings Volumes 2003年第16期36卷 1047-1052页

作者： K. Kumamaru K. Inoue Y. Hosoyamada T. Söerström Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka 820-8502 Fukuoka Japan Department of Automatic Control and System Analysis Institute of Technology Uppsala University P.O.Box 27 Uppsala Sweden

关键词： Fault detection Kullback discrimination information non-linear system parameter estimation quasi-ARMAX model

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