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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2006年 4289 LNAI卷 v-vi页

作者： Berendt, Bettina Hotho, Andreas Mladenič, Dunja Semeraro, Giovanni Spiliopoulou, Myra Stumme, Gerd Van Someren, Maarten Ackermann, Markus Grobelnik, Marko Svátek, Vojtěch Institute of Information Systems Humboldt University Berlin Germany Knowledge and Data Engineering Group University of Kassel Germany J. Stefan Institute Ljubljana Slovenia Department of Informatics University of Bari Italy Faculty of Computer Science Otto-von-Guericke-Univ. Magdeburg Germany Informatics Institute University of Amsterdam Netherlands Dept. of Natural Language Processing Institute for Computer Science University of Leipzig Germany University of Economics Prague Czech Republic

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Support vector machine-based feature selection for classification of liver fibrosis grade in chronic hepatitis C

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Journal of medical Systems 2006年第5期30卷 389-394页

作者： Jiang, Zheng Yamauchi, Kazunobu Yoshioka, Kentaro Aoki, Kazuma Kuroyanagi, Susumu Iwata, Akira Yang, Jun Wang, Kai Department of Medical Information and Management Science Graduate School of Medicine Nagoya University Showa-ku Nagoya 466-8550 65 Tsurumai-cho Japan Department of Hepato-Gastroenterology Graduate School of Medicine Nagoya University Nagoya 466-8550 Japan Iwata-Lab. Department of Electrical and Computer Engineering Nagoya Institute of Technology Nagoya Japan

Although liver biopsy is currently regarded as the gold standard for staging liver fibrosis in chronic hepatitis C, it is a costly invasive procedure and carries a small risk for complication. Our aim in this study was to construct a simple model to distinguish between patients with no or mild fibrosis (METAVIR F0-F1) versus those with clinically significant fibrosis (METAVIR F2-F4). We retrospectively studied 204 consecutive CHC patients. Thirty-four serum markers with age, gender, duration of infection were assessed to classify fibrosis with a classifier known as the support vector machine (SVM). The method of feature selection known as sequential forward floating selection (SFFS) was introduced before the performance of SVM. When four serum markers were extracted with SFFS-SVM, F2-F4 could be predicted accurately in 96%. Our study showed that application of this model could identify CHC patients with clinically significant fibrosis with a high degree of accuracy and may decrease the need for liver biopsy. © Springer science+Business Media, Inc. 2006.

关键词： Chronic hepatitis C Fibrosis staging Sequential forward floating selection Support vector machine

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Low HRV entropy is strongly associated with myocardial infarction

Low HRV entropy is strongly associated with myocardial infar...

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作者： Lau, Stephan Haueisen, Jens Schukat-Talamazzini, Ernst G. Voss, Andreas Goernig, Matthias Leder, Uwe Figulla, Hans-R. Institute of Computer Science Friedrich Schiller University Jena Jena Germany Biomagnetic Center Jena Friedrich Schiller University Jena Jena Germany Department of Medical Engineering University of Applied Sciences Jena Jena Germany Institute of Biomedical Engineering and Informatics Technical University of Ilmenau Ilmenau Germany Clinic of Internal Medicine I Friedrich Schiller University Jena Jena Germany Biomagnetic Center Jena Friedrich Schiller University Jena Erlanger Allee 101 07747 Jena Germany

Heart rate variability (HRV) is a marker of autonomous activity in the heart. An important application of HRV measures is the stratification of mortality risk after myocardial infarction. Our hypothesis is that the information entropy of HRV, a non-linear approach, is a suitable measure for this assessment. As a first step, to evaluate the effect of myocardial infarction on the entropy, we compared the entropy to standard HRV parameters. The entropy was estimated by compressing the tachogram with Bzip2. For univariate comparison, statistical tests were used. Multivariate analysis was carried out using automatically generated decision trees. The classification rate and the simplicity of the decision trees were the two evaluation criteria. The findings support our hypothesis. The meanNN-normalized entropy is reduced in patients with myocardial infarction with very high significance. One entropy parameter alone exceeds the discrimination strength of multivariate standards-based trees. ©2006 by Walter de Gruyter.

关键词： Cardiology

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A Healthcare Pattern Collection for Rural Telemedicine Services

A Healthcare Pattern Collection for Rural Telemedicine Servi...

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International Conference on e-health Networking, Applications and Services (HealthCom)

作者： Po-Hsun Cheng Jer-Junn Luh Ming-Fong Shyu Heng-Shuen Chen Sao-Jie Chen Jin-Shin Lai Feipei Lai Information Systems National Taiwan University Hospital Taipei Taiwan School & Graduate Institute of Physical Therapy College of Medicine National Taiwan University Taipei Taiwan Department of Computer Science & Information Engineering Chao Yang University of Technology Taipei Taiwan Department of Family and Department of Medical Informatics National Taiwan University Hospital Taipei Taiwan Graduate Institute of Electronics Engineering & Depertment of Electrical Engineering National Taiwan University Taipei Taiwan Department of Physical Medicine & Rehabilitation & Department of Medical Informatics National Taiwan University Hospital National Taiwan University College of Medicine Taipei Taiwan Department of Computer Science & Information Engineering National Taiwan University Taipei Taiwan

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Context-based model for mobile electronic medical records

Context-based model for mobile electronic medical records

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International Conference on e-health Networking, Applications and Services (HealthCom)

作者： Fong-Ming Shyu Po-Hsun Cheng Mei-Juh Su Jer-Junn Luh Heng-Shuen Chen Sao-Jie Chen Department of Computer Science and Information Engineering Chao Yang University of Technology Taichung Taiwan Information Systems Graduate Institute of Electronics Engineering and Department of Electrical Engineering National Taiwan University Hospital Taipei Taiwan Graduate Institute of Electronics Engineering and Department of Electrical Engineering National Taiwan University Taipei Taiwan School & Graduate Institute of Physical Therapy College of Medicine National Taiwan University Taipei Taiwan Department of Family and Department of Medical Informatics National Taiwan University Hospital Taipei Taiwan

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Separation of nonlinear image mixtures by denoising source separation

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6th International Conference on Independent Component Analysis and Blind Signal Separation, ICA 2006

作者： Almeida, Mariana S. C. Valpola, Harri Särelä, Jaakko Institute de Telecomunicações Av. Rovisco Pais - 1 1049-001 Lisboa Portugal Laboratory of Computational Engineering Helsinki University of Technology P.O. Box 9203 FI-02015 HUT Espoo Finland Adaptive Informatics Research Centre Laboratory of Computer and Information Science Helsinki University of Technology P.O. Box 5400 FI-02015 HUT Espoo Finland

ISBN: (纸本)3540326308

The denoising source separation framework is extended to nonlinear separation of image mixtures. MLP networks are used to model the nonlinear unmixing mapping. Learning is guided by a denoising function which uses prior knowledge about the sparsity of the edges in images. The main benefit of the method is that it is simple and computationally efficient. Separation results on a real-world image mixture proved to be comparable to those achieved with MISEP. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Imaging techniques

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Graph orientation algorithms to minimize the maximum outdegree 06

Graph orientation algorithms to minimize the maximum outdegr...

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Proceedings of the 12th Computing: The Australasian Theroy Symposium - Volume 51

作者： Yuichi Asahiro Eiji Miyano Hirotaka Ono Kouhei Zenmyo Department of Social Information Systems Kyushu Sangyo University Fukuoka Japan Department of Systems Innovation and Informatics Kyushu Institute of Technology Fukuoka Japan Department of Computer Science and Communication Engineering Kyushu University Fukuoka Japan

ISBN: (纸本)9781920682330

We study the problem of orienting the edges of a weighted graph such that the maximum weighted out-degree of vertices is minimized. This problem, which has applications in the guard arrangement for example, can be shown to be NP-hard generally. In this paper we first give optimal orientation algorithms which run in polynomial time for the following special cases: (i) the input is an unweighted graph, or more generally, a graph with identically weighted edges, and (ii) the input graph is a tree. Then, by using those algorithms as sub-procedures, we provide a simple, combinatorial, min{wmax/wmin, (2-ε)}-approximation algorithm for the general case, where wmax and wmin are the maximum and the minimum weights of edges, respectively, and ε is some small positive real number that depends on the input.

关键词： approximation algorithms graph orientation min-max optimization NP-hardness

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Learning system for human motion characters of traditional arts

Learning system for human motion characters of traditional a...

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13th ACM Symposium Virtual Reality Software and Technology, VRST'06

作者： Maekawa, Yoshinori Oda, Takuya Komura, Taku Shinagawa, Yoshihisa Department of Information Systems Engineering Osaka Sangyo University 3-1-1 Nakagaito Daito Osaka Japan Graduate School of Information Science and Technology Osaka University 2-1 Yamadaoka Suita Osaka Japan School of Informatics University of Edinburgh Appleton Tower Crichton Street Edinburgh EH8 9LE United Kingdom Department of Electrical and Computer Engineering Beckman Institute University of Illinois at Urbana-Champaign 405 N. Mathews Ave. Urbana IL United States

ISBN: (纸本)1595933212

A useful learning system for human motion characters of traditional arts, such as Mai (Japanese classic dance), Kabuki (one of Japan's traditional stage arts), etc., is being developed. In such arts an effective system to pass the tradition down from a top artist to next generations is required. Video contents are generally used to pass the human motions in traditional arts down for non-experts. However, the video contents normally show the human motions as the views from a single direction. If the human motions are presented from orthogonal three-directions at the same time, it comes more useful. So, our learning system produces the three-dimensional human motion by the sequences of views from a single direction in the video contents, then, the motions from any directions can be presented simultaneously with the video *** addition, a learner can check the difference in motion between a top artist and him/herself by the producing his/her three-dimensional skeleton motion with our system and the overlapping it with one of the top artist. Here, in the comparison between two different physiques (a top artist and a learner) a simple adjustment method is *** our study standard motion capture processes are employed, but our goal is to develop an original practical training system of performers' motion for beginners in traditional arts. In this paper the developing system is demonstrated for Kyo-mai (Mai originated in Kyoto) as example. The developing system can be useful not only in performing arts but also in industry or in sports. Copyright 2006 ACM.

关键词： Learning systems

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Effect of Truncation in Quantitative Cardiac Imaging with Small Field-of-View Pinhole SPECT

Effect of Truncation in Quantitative Cardiac Imaging with Sm...

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IEEE Symposium on Nuclear science (NSS/MIC)

作者： Tsutomu Zeniya Hiroshi Watabe Antti Sohlberg Toru Inomata Hiroyuki Kudo Hidehiro Iida Department of Investigative Radiology Advanced Medical Engineering Center National Cardiovascular Center Research Institute Suita Osaka Japan Department of Computer Science Graduate School of Systems and Information Engineering University of Tsukuba Japan

Pinhole SPECT allows to image physiological functions in small animals with high spatial resolution. In case of cardiac imaging with higher resolution, the resolution can be improved by positioning a collimator close to an object, but truncation arises from radioisotope in the surrounding organs. This study was intended to evaluate the effect of truncation in quantitative cardiac imaging with small field-of-view pinhole SPECT by a computer simulation. Assuming a rat, a numerical phantom consists of cylinder with 10-mm diameter and 10-mm height, and cylinder with 36-mm diameter and 70-mm height as the cardiac region and the surrounding region (Background). The counts of the cardiac region and the background were 10 and 1, 2, 4 or 8, respectively. In this simulation, the field-of-view of reconstruction was defined as a sphere with 30-mm diameter. The projection data with truncation were reconstructed using pinhole 3D-OSEM algorithm. The counts on the reconstructed images were compared with that on original image. The counts on the cardiac regions in reconstructed images were overestimated 14.5%, 17.6%, 20.5% and 23.2% for the background counts of 1, 2, 4 and 8, respectively. These results suggest that the effect of truncation needs to be considered in quantitative cardiac imaging with pinhole SPECT.

关键词： Collimators High-resolution imaging Spatial resolution Imaging phantoms Image reconstruction Image resolution Radioactive materials computer simulation Cameras Animals

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Evaluation of a Network Extraction Topology Algorithm for Reducing Search Space of a GA-based Routing Approach

Evaluation of a Network Extraction Topology Algorithm for Re...

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International Conference on Distributed Computing Systems Workshop

作者： M. Ikeda L. Barolli G. De Marco A. Durresi A. Koyama M. Durresi Graduate School of Engineering Fukuoka Institute of Technology (FIT) Higashi-ku Japan Department of Information and Communication Engineering Fukuoka Institute of Technology (FIT) Higashi-ku Japan Department of Computer Science Louisiana State University Baton Rouge Louisiana USA Department of Informatics Yamagata University Yonezawa Japan

In order to support multimedia communication, it is necessary to develop routing algorithms which use for routing more than one QoS parameters. This is because new services such as video on demand and remote meeting systems require better QoS. Also, for admission control of multimedia applications different QoS parameters should be considered. In our previous work, we proposed an intelligent routing and CAC strategy using cooperative agents. The proposed routing algorithm is a combination of source and distributed routing. However, in the previous research, we only considered the time delay for the routing. Also, QoS and congestion control parameters were considered just as indicators of QoS satisfication and congestion. In this work, we extend our previous work by proposing and implementing new algorithms based on fuzzy logic and genetic algorithm which use for admission control and routing many QoS parameters. Also, we evaluate by simulations the performance of the network extraction topology algorithm which reduces the search space of the proposed GA-based routing approach. Thus, the GA can find a feasible route very fast.

关键词： Network topology Routing Quality of service Space technology Admission control Fuzzy logic Broadband communication Multimedia communication Video on demand Scalability

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