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Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques, Gonzalez Fabio a., Romero Eduardo


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Автор: Gonzalez Fabio a., Romero Eduardo
Название:  Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques
ISBN: 9781605669564
Издательство: Mare Nostrum (Eurospan)
Издательство: Medical Information Science Reference
Классификация:

ISBN-10: 1605669563
Обложка/Формат: Hardcover
Страницы: 370
Вес: 1.38 кг.
Дата издания: 20.04.2011
Серия: Advances in bioinformatics and biomedical engineering
Язык: English
Иллюстрации: Illustrations
Размер: 28.45 x 21.84 x 3.05 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Applications and techniques
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Поставляется из: США
Описание: Provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. It will serve as a leading industry reference.

Data Mining. Practical Machine Learning Tools and Techniques, 4 ed.

Автор: Witten, Ian H.
Название: Data Mining. Practical Machine Learning Tools and Techniques, 4 ed.
ISBN: 0128042915 ISBN-13(EAN): 9780128042915
Издательство: Elsevier Science
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Цена: 61750.00 T
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Описание:

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.

Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.

Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.

It contains

  • Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
  • Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
  • Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.

  • Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
  • Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
  • Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
  • Includes open-access online courses that introduce practical applications of the material in the book

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Автор: Subasi, Abdulhamit
Название: Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques
ISBN: 0128174447 ISBN-13(EAN): 9780128174449
Издательство: Elsevier Science
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Цена: 132500.00 T
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Описание:

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more.

This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis.

  • Provides comprehensive knowledge in the application of machine learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction
  • Explains how to apply machine learning techniques to EEG, ECG and EMG signals
  • Gives basic knowledge on predictive modeling in biomedical time series and advanced knowledge in machine learning for biomedical time series

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications

Автор: Srinivasa K. G., Siddesh G. M., Manisekhar S. R.
Название: Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
ISBN: 9811524440 ISBN-13(EAN): 9789811524448
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.

Mechanical Ventilation: Applications, Technologies and Ethical Issues

Автор: Antonio M. Esquinas
Название: Mechanical Ventilation: Applications, Technologies and Ethical Issues
ISBN: 1536150029 ISBN-13(EAN): 9781536150025
Издательство: Nova Science
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Цена: 215410.00 T
Наличие на складе: Невозможна поставка.
Описание: Currently, positive pressure mechanical ventilation has gained widespread recognition as an essential strategy in the treatment of various forms of acute and chronic respiratory failure. Its mechanism impacts directly or indirectly on respiratory physiology (gas exchange) and/or respiratory musculature in various medical/surgical pathological conditions. In addition, positive pressure mechanical ventilation has been recognized as a factor that influence both short- and long-term prognosis of critically ill patients. An example of one of the utilities of noninvasive ventilation is to assist in weaning from mechanical ventilation.For these reasons, mechanical ventilation continues to be a matter of controversy and continuous analysis for medical community and growing field of technological advances that optimize patient-ventilator interaction and outcome. This book has made a selection of the hot topics about indications of mechanical ventilation, technological development advances, ethical and cost associated with mechanical ventilation.Initially, the authors believe an essential approach to positive pressure ventilation is based on physiology (gas exchange, lung mechanics, work of breathing, equipment, etc.), modality of mechanical ventilators (invasive and non-invasive ventilation, nasal high flow, etc.), ventilatory modes (conventional and unconventional modes) and possible complications (ventilatory associated pneumonia, diaphragm dysfunction and ventilator-associated events). The most important mechanical ventilation topics and advances made in critically mechanical ventilated patients include obesity, severe hypoxemic respiratory failure (protective ventilation mode, prone position and extracorporeal oxygenation), cardiac surgery, lung/cardiac transplants, thoracic and brain trauma, pregnancy, and sleep breathing disorders. Patient-ventilator asynchrony, sedation and neuromuscular protocols in mechanical ventilation can be complicated by prolonged mechanical ventilation, weaning failure, sepsis and delirium. Continuous advances are being made in technologies such as diagnosis, monitoring and treatment patient-ventilator asynchrony, respiratory muscle function such as electromyography in diaphragm and lung function by ultrasound or electrical impedance.Weaning from mechanical ventilation, hospital discharge and early mobilization are important aspects of how to identify weaning candidates-screening and planning how release from mechanical ventilation (ventilatory options, protocols), reintubation, rehabilitation and goals-directed mobilization and discharge planning from hospitals receiving long-term mechanical ventilation.Finally, ethical and health-related cost perspectives of mechanical ventilation represent the last essential approach towards emergent issues in mechanical ventilation.

Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes

Автор: Wahiba Ben Abdessalem Karaa, Nilanjan Dey
Название: Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes
ISBN: 1466688114 ISBN-13(EAN): 9781466688117
Издательство: Mare Nostrum (Eurospan)
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Цена: 218990.00 T
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Описание: Addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. An essential addition to the reference material available in the field of medicine, this timely publication covers a range of applied research on data mining, image processing, computational simulation, data visualization, and image retrieval.

High Throughput Screening: Methods, Techniques and Applications

Автор: Mark Wigglesworth, Dave Murray, Geoff Holdgate, Carolyn J Blackett
Название: High Throughput Screening: Methods, Techniques and Applications
ISBN: 1536172480 ISBN-13(EAN): 9781536172485
Издательство: Nova Science
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Цена: 215410.00 T
Наличие на складе: Невозможна поставка.
Описание: High Throughput Screening (HTS) is one of several hit identification approaches that are part of a developing and evolving toolbox for the discovery of pharmaceutical start points. HTS remains one of the most successful approaches, and therefore an important foundation of drug discovery. In High Throughput Screening: Methods, Techniques and Applications, leading industrial and academic experts in screening and drug discovery explain key technologies and methods while demonstrating how they can be applied to successful hit identification. Describing both traditional and emerging methods in detail, this book provides an overview of these methods to the reader that will serve both those new to the field and expert scientists alike. High Throughput Screening: Methods, Techniques and Applications provides readers with an outline of key elements in the areas of assay development, detailed descriptions of a range of both biochemical and cell-based screening methodologies and strategies, as well as highlighting important steps in data analysis. By describing the basic principles of methods commonly used in HTS, High Throughput Screening: Methods, Techniques and Applications provides an illuminating introduction to HTS, capturing established good practice within the field, thereby imparting both the industrial and academic researcher with the knowledge required to work effectively in both todays and the hit identification laboratories of the future.

Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications

Автор: Exarchos Themis P., Papadopoulos Athanasios, Fotiadis Dimitrios I.
Название: Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
ISBN: 160566314X ISBN-13(EAN): 9781605663142
Издательство: Mare Nostrum (Eurospan)
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Цена: 221540.00 T
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Описание: Includes methodologies that introduce biomedical imaging in decision support systems and their applications in clinical practice. This book offers an overview of the field of image-guided medical and biological decision support. It features cross-referencing of key terms and information pertinent to diagnostic imaging and biomedical applications.

Advanced Machine Learning Technologies and Applications

Автор: Aboul Ella Hassanien; Mohamed Tolba; Ahmad Taher A
Название: Advanced Machine Learning Technologies and Applications
ISBN: 3319134604 ISBN-13(EAN): 9783319134604
Издательство: Springer
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Цена: 76400.00 T
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Описание: This book constitutes the refereed proceedings of the Second International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2014, held in Cairo, Egypt, in November 2014. machine learning in watermarking/authentication and virtual machines;

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)

Автор: Hassanien
Название: The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)
ISBN: 3319746898 ISBN-13(EAN): 9783319746890
Издательство: Springer
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Цена: 372670.00 T
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Описание: This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt, on February 22-24, 2018, and organized by the Scientific Research Group in Egypt (SRGE).

Business Intelligence Applications and the Web: Models, Systems and Technologies

Автор: Marta E. Zorrilla, Jose-Norberto Mazon, Oscar Ferrandez, Irene Garrigos, Florian Daniel
Название: Business Intelligence Applications and the Web: Models, Systems and Technologies
ISBN: 1613500386 ISBN-13(EAN): 9781613500385
Издательство: Mare Nostrum (Eurospan)
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Цена: 180180.00 T
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Описание: Summarises current research advances in BI and the Web, emphasizing research solutions, techniques, and methodologies which combine both areas in the interest of building better BI solutions. This comprehensive collection emphasises the interconnections that exist among the two research areas and to highlight the benefits of combined use of BI and Web practices.

Advanced Machine Learning Technologies and Applications

Автор: Hassanien
Название: Advanced Machine Learning Technologies and Applications
ISBN: 9811533822 ISBN-13(EAN): 9789811533822
Издательство: Springer
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Цена: 279500.00 T
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Описание: This book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 - 15, 2020, and organized in collaboration with the Scientific Research Group in Egypt (SRGE).

Computational Methods With Applications In Bioinformatics Analysis

Автор: Tsai Jeffrey J P & Ng Ka-Lok
Название: Computational Methods With Applications In Bioinformatics Analysis
ISBN: 9813207973 ISBN-13(EAN): 9789813207974
Издательство: World Scientific Publishing
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Цена: 90810.00 T
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Описание:

This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.

The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.

The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.



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