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Titlebook: Computational Intelligence, Medicine and Biology; Selected Links Krzysztof Pancerz,Elena Zaitseva Book 2015 Springer International Publishi

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發(fā)表于 2025-3-21 16:33:05 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computational Intelligence, Medicine and Biology
副標(biāo)題Selected Links
編輯Krzysztof Pancerz,Elena Zaitseva
視頻videohttp://file.papertrans.cn/233/232554/232554.mp4
概述Covers recent advances in Computational Intelligence for Medicine and Biology.Presents selected links and recent research.Provides applications of Computational Intelligence to Medicine and Biology.Wr
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Computational Intelligence, Medicine and Biology; Selected Links Krzysztof Pancerz,Elena Zaitseva Book 2015 Springer International Publishi
描述.This book contains an interesting and state-of the art collection of?chapters presenting several examples of attempts to developing modern tools utilizing computational intelligence in different real life problems encountered by humans. Reasoning, prediction, modeling, optimization, decision making, etc. need modern, soft and intelligent algorithms, methods and methodologies to solve, in the efficient ways, problems appearing in human activity. The contents of the book is divided into two parts. Part I, consisting of four chapters, is devoted to selected links of computational intelligence, medicine, health care and biomechanics. Several problems are considered: estimation of healthcare system reliability, classification of ultrasound thyroid images, application of fuzzy logic to measure weight status and central fatness, and deriving kinematics directly from video records. Part II, also consisting of four chapters, is devoted to selected links of computational intelligence and biology. The common denominator of three chapters is Physarum polycephalum, one-cell organisms able to build complex networks for solving different computational tasks. One chapter focuses on a novel device
出版日期Book 2015
關(guān)鍵詞Biological Informatics; Biomedical Informatics; Computational Intelligence; Intelligent Systems; Medical
版次1
doihttps://doi.org/10.1007/978-3-319-16844-9
isbn_softcover978-3-319-36852-8
isbn_ebook978-3-319-16844-9Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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https://doi.org/10.1007/978-3-8349-9762-3 early stage of Hashimoto’s disease. Decision tree induction and artificial neural networks have been used to build classification models. Test results showed that the proposed methods can provide a starting point to build a support system in the process of medical diagnosis.
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https://doi.org/10.1007/978-3-8349-9762-3z (Poland) as well as for its adolescent population are presented. MF design based on the EP theory is a useful methodology for an estimation of the CF fuzzy subsets and, consequently, for a better assessment of CMR and other medical diagnostic applications.
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Estimation of a Healthcare System Based on the Importance Analysisf the approaches in reliability engineering. In this paper, new algorithms for the calculation of importance measures are developed. These measures permit to estimate the influence of any component (sub-system) on a healthcare system functioning or failure.
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A Fuzzy Logic Approach to Measure of Weight Status and Central Fatness in Adults and Adolescentsz (Poland) as well as for its adolescent population are presented. MF design based on the EP theory is a useful methodology for an estimation of the CF fuzzy subsets and, consequently, for a better assessment of CMR and other medical diagnostic applications.
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https://doi.org/10.1007/978-3-8349-9762-3ssing techniques were used to develop algorithms for automatic detection of human motion trajectories. Based on these algorithms, the marker-free analysis system has been created and tested in analysis of human gait.
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