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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

引用

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...

引用

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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Dynamic scheduling issues in SMT architectures

Dynamic scheduling issues in SMT architectures

引用

International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Chulho Shin Seong-Won Lee J.-L. Gaudiot Samsung Electronics Corporation System Design Technology Laboratory Department of Electrical Engineering-Systems University of Southern California USA Department of Electrical Engineering and Computer Science University of California Irvine USA

Simultaneous multithreading (SMT) attempts to attain higher processor utilization by allowing instructions from multiple independent threads to coexist in a processor and compete for shared resources. Previous studies have shown, however, that its throughput may be limited by the number of threads. A reason is that a fixed thread scheduling policy cannot be optimal for the varying mixes of threads it may face in an SMT processor. Our adaptive dynamic thread scheduling (ADTS) was previously proposed to achieve higher utilization by allowing a detector thread to make use of wasted pipeline slots with nominal hardware and software costs. The detector thread adaptively switches between various fetch policies. Our previous study showed that a single fixed thread scheduling policy presents much room (some 30%) for improvement compared to an oracle-scheduled case. In this paper, we take a closer look at ADTS. We implemented the functional model of the ADTS and its software architecture to evaluate various heuristics for determining a better fetch policy for a next scheduling quantum. We report that performance could be improved by as much as 25%.

关键词： Dynamic scheduling Surface-mount technology Yarn Processor scheduling Detectors Multithreading Throughput Face detection Adaptive scheduling Pipelines

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Semiconductor laser distortion improvement for high performance analog optical transmission

Semiconductor laser distortion improvement for high performa...

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： S. Ghoniemy L. MacEachern S. Mahmoud Department of System & Computer Engineering Carleton University Ottawa ONT Canada Department of Electronics Carleton University Ottawa ONT Canada Department of Faculty of Engineering and Design Carleton University Ottawa ONT Canada

We present a pre-distorter model derived from a modified semiconductor user model that reduces the nonlinear distortion in directly modulated semiconductor lasers. Simulation results showing improvements greater than 40dB for the second harmonic and the second and third order intermodulation distortion components over a wide frequency range are given. Performance and capability of the pre-distorter are examined for two different lasers (Ortel 1510B and Fujitsu FLD3F7CZ) under different operating conditions

关键词： Optical distortion Laser noise Semiconductor lasers Laser modes Nonlinear optical devices Nonlinear optics Optical modulation Nonlinear distortion Intermodulation distortion Frequency

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Application of novel hierarchical approach to formal verification of digital ICs

Application of novel hierarchical approach to formal verific...

引用

Midwest Symposium on Circuits and systems (MWSCAS)

作者： F.A. El-Licy H.S. Abdel-Aty-Zohdy Department of Information and Computer Science Institute of Statistical Studies and Research Cairo University Egypt Microelectronics System Design Laboratory Electrical and Systems Engineering Oakland University MI USA

A hierarchical approach for the abstraction of digital VLSICs is presented. Circuit layout is hierarchically abstracted into logical constructs of binary tree structures, which may be manipulated to extract circuit functionality for the purpose of verifying design correctness. VLSIC design specification in the form of HDL is hierarchically decomposed to generate logical formulae for the given specification. By comparing the above, a verification report is obtained

关键词： Formal verification Logic design Binary trees Hardware design languages Production Very large scale integration Electrical capacitance tomography Combinational circuits Data structures Boolean functions

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Doppler diversity for OFDM wireless mobile communications. Part II: time-frequency processing

Doppler diversity for OFDM wireless mobile communications. P...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Byung-Chul Kim I-Tai Lu System Architecture Design Lab TN Business Samsung Electronics Company Limited Suwon Gyeonggi South Korea Department of Electrical and Computer Engineering Polytechnic University Melville NY USA

A novel time-frequency processing scheme is developed to exploit Doppler diversity of time varying multipath channel for OFDM mobile communication systems. Extensive simulations show that the proposed time-frequency M... 详细信息

ISBN: (纸本)0780377575

关键词： OFDM Wireless communication Mobile communication Time frequency analysis Fading Frequency diversity Finite impulse response filter Statistics Bit error rate Signal generators

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Space-time-frequency processing for OFDM wireless mobile communications

Space-time-frequency processing for OFDM wireless mobile com...

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IEEE Conference on Vehicular Technology (VTC)

Novel space-time-frequency processing schemes for OFDM mobile communication systems are implemented using antenna arrays, tap delay lines and Doppler branches to exploit angular spread, delay spread and Doppler spread... 详细信息

ISBN: (纸本)0780377575

关键词： OFDM Wireless communication Mobile communication Fading Delay effects Antenna arrays Sampling methods Degradation Bit error rate Aperture antennas

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Doppler diversity for OFDM wireless mobile communications. Part I: frequency domain approach

Doppler diversity for OFDM wireless mobile communications. P...

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IEEE Conference on Vehicular Technology (VTC)

作者： Byung-Chul Kim I-Tai Lu System Architecture Design Laboratory TN Business Samsung Electronics Company Limited Suwon Gyeonggi South Korea Department of Electrical and Computer Engineering Polytechnic University Melville NY USA

ISBN: (纸本)0780377575

A novel frequency domain Doppler diversity technique for OFDM systems is proposed. The received OFDM signal is first frequency shifted to generate various diversity branches. After demodulation, branch outputs are individually weighted and added together. For Doppler spread signal, it alters fading statistics and improves the bit error rate. Extensive simulations show that combining three diversity branches with proper frequency shifts reduces BER by an order when the normalized Doppler spread is larger than 0.3.

关键词： OFDM Wireless communication Mobile communication Frequency domain analysis Diversity reception Frequency diversity Bit error rate Signal generators Demodulation Fading

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Analysing heart attack survival using intelligent systems

Analysing heart attack survival using intelligent systems

引用

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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