Data Mining In Biomedicine Using Ontologies Artech House Series Bioinformatics Biomedical Imaging
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Data Mining In Biomedicine Using Ontologies
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Author : Mihail Popescu
language : en
Publisher: Artech House
Release Date : 2009
Data Mining In Biomedicine Using Ontologies written by Mihail Popescu and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Medical categories.
Presently, a growing number of ontologies are being built and used for annotating data in biomedical research. Thanks to the tremendous amount of data being generated, ontologies are now being used in numerous ways, including connecting different databases, refining search capabilities, interpreting experimental/clinical data, and inferring knowledge. This cutting-edge resource introduces you to latest developments in bio-ontologies. The book provides you with the theoretical foundations and examples of ontologies, as well as applications of ontologies in biomedicine, from molecular levels to clinical levels. You also find details on technological infrastructure for bio-ontologies. This comprehensive, one-stop volume presents a wide range of practical bio-ontology information, offering you detailed guidance in the clustering of biological data, protein classification, gene and pathway prediction, and text mining. More than 160 illustrations support key topics throughout the book.
Data Mining In Biomedicine Using Ontologies Artech House Series Bioinformatics Biomedical Imaging
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Author : Mihail Popescu
language : en
Publisher:
Release Date :
Data Mining In Biomedicine Using Ontologies Artech House Series Bioinformatics Biomedical Imaging written by Mihail Popescu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Data Mining In Biomedicine Using Ontologies Artech House Series Bioinformatics Biomedical Imaging
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Author : Mihail Popescu
language : en
Publisher:
Release Date :
Data Mining In Biomedicine Using Ontologies Artech House Series Bioinformatics Biomedical Imaging written by Mihail Popescu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Cell Based Biosensors
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Author : Qingjun Liu
language : en
Publisher: Artech House
Release Date : 2009-10
Cell Based Biosensors written by Qingjun Liu and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10 with Medical categories.
Written by recognized experts the field, this leading-edge resource is the first book to systematically introduce the concept, technology, and development of cell-based biosensors. You find details on the latest cell-based biosensor models and novel micro-structure biosensor techniques. Taking an interdisciplinary approach, this unique volume presents the latest innovative applications of cell-based biosensors in a variety of biomedical fields. The book also explores future trends of cell-based biosensors, including integrated chips, nanotechnology and microfluidics. Over 140 illustrations help clarify key topics throughout the book.
The British National Bibliography
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Author : Arthur James Wells
language : en
Publisher:
Release Date : 2009
The British National Bibliography written by Arthur James Wells and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Bibliography, National categories.
Data Mining
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Author : Ian H. Witten
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-10-01
Data Mining written by Ian H. Witten and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-01 with Computers categories.
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
Biological Database Modeling
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Author : Jake Chen
language : en
Publisher: Artech House Publishers
Release Date : 2008
Biological Database Modeling written by Jake Chen and has been published by Artech House Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
Modern biological research in areas like drug discovery produces a staggering volume of data, and the right modeling tools can help scientists apply it in ways never before imaginable. This collection of next-generation biodata modeling techniques combines innovative concepts, methods, and applications with case studies in genome, microarray, proteomics, and drug discovery projects to help bioinformatics professionals develop ever-more powerful data management systems in any domain. Breaking new ground at the intersection of life sciences and data management, the book introduces practitioners to core biodata modeling techniques, biological database resources, and ontology concepts. It explains the latest envelope-pushing methods and software applications for processing, integrating, and managing biodata.
Text Mining For Biology And Biomedicine
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Author : Sophia Ananiadou
language : en
Publisher: Artech House Publishers
Release Date : 2006
Text Mining For Biology And Biomedicine written by Sophia Ananiadou and has been published by Artech House Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
Here's the first focused book that puts the full range of cutting-edge biological text mining techniques and tools at your command. This comprehensive volume describes the methods of natural language processing (NLP) and their applications in the biological domain, and spells out in detail the various lexical, terminological, and ontological resources now at your disposal - and how best to utilize them.
Internet Of Things And Big Data Technologies For Next Generation Healthcare
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Author : Chintan Bhatt
language : en
Publisher: Springer
Release Date : 2017-01-01
Internet Of Things And Big Data Technologies For Next Generation Healthcare written by Chintan Bhatt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-01 with Technology & Engineering categories.
This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.
Computational Intelligence In Medical Informatics
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Author : Arpad Kelemen
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-03
Computational Intelligence In Medical Informatics written by Arpad Kelemen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-03 with Medical categories.
Medical Informatics (MI) is an emerging interdisciplinary science. This book deals with the application of computational intelligence in MI. Addressing the various issues of medical informatics using different computational intelligence approaches is the novelty of this edited volume. This volume comprises of 15 chapters selected on the basis of fundamental ideas/concepts including an introductory chapter giving the fundamental definitions and some important research challenges.