Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms and techniques, and connections between statistical analysis and clustering. The book introduces and discusses the major problems relating to data analytics, provides a review of influential and state-of-the-art learning algorithms for biomedical applications, reviews cluster validity indices and how to select the appropriate index, and includes an overview of statistical methods that can be applied to increase confidence in the clustering framework and analysis of the results obtained.
New Approaches in Intelligent Image Analysis- Techniques, Methodologies and Applications.- New Approaches for Hierarchical Image Decomposition, based on IDP, SVD, PCA and KPCA.- Intelligent Digital Signal Processing and Feature Extraction Methods.- Multi-Dimensional Data Clustering and Visualization via Echo State Networks.- Unsupervised Clustering of Natural Images in Automatic Image Annotation Systems.- An Evolutionary Optimization Control System for Remote Sensing Image Processing.- Tissue Segmentation Methods using 2D Histogram Modification in a Sequence of MR Brain Images.- Multistage Approach for Simple Kidney Cysts Segmentation in CT Images.- Audio Visual Attention Models in Mobile Robots Navigation.- Local Adaptive Image Processing.- Learning Techniques for Intelligent Access Control.- Experimental Evaluation of Opportunity to Improve the Resolution of the Acoustic Maps.
Описание: This book brings together multi-disciplinary research and practical evidence about the role and exploitation of big data in driving and supporting innovation in tourism.
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
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.
Автор: Hemanth, D. Jude Название: Intelligent Data Analysis for Biomedical Applications ISBN: 0128155531 ISBN-13(EAN): 9780128155530 Издательство: Elsevier Science Рейтинг: Цена: 17180.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases.
Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection
Contains an analysis of medical databases to provide diagnostic expert systems
Addresses the integration of intelligent data analysis techniques within biomedical information systems
As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.
Here are just a dozen of the many questions answered within these pages:
What does quantitative analysis of a system really mean?
What is a system?
What are big data and analystics?
How do you know your numbers are good?
What will the future data science environment look like?
How do you determine data provenance?
How do you gather and process information, and then organize, store, and synthesize it?
How does an organization implement data analytics?
Do you really need to think like a Chief Information Officer?
What is the best way to protect data?
What makes a good dashboard?
What is the relationship between eating ice cream and getting attacked by a shark?
The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).
Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.
One of the main objectives of planning and design is the reflection of the works to the space. Therefore, the starting point of this book is to reveal the research conducted by different professions in the field of spatial planning and design. For this purpose, original researches on direct application and land were included. Planning and design studies need co-operation between professions in order to fulfill this philosophy. These activities are effective means of fulfilling the philosophy of sustainability. Planning and design is a tool to tell the story of a community, and how it’s past, present and future work together for a sustainable tomorrow. The design process in which the most appropriate spatial compositions are revealed by shaping the areas in the direction of planning decisions, develops in the continuation of the planning process. This book is for landscape architects and other planning and design professions. Theoretical foundations, theories, methods, and applications will be essential parts of this reference book. In addition, this book addresses several very different subjects of study; landscape management, biodiversity, landscape restoration, landscape design, urban design, urban planning and architectural design related to theory, practice and the results will be covered.
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.
Описание: This book presents the latest technological advances in Raman spectroscopy that are presently redrawing the landscape of many fields of biomedical and pharmaceutical R&D. Numerous examples are given to illustrate the application of the new methods.
Автор: Toshihiko Tominaga, Yoshiki Oshida Название: Nickel-Titanium Materials: Biomedical Applications ISBN: 3110666219 ISBN-13(EAN): 9783110666212 Издательство: Walter de Gruyter Рейтинг: Цена: 161781.00 р. Наличие на складе: Нет в наличии.
Описание:
Nickel-Titanium alloys are smart materials exhibiting unique properties such as superelasticity and shape-memory effect. The material has been used as orthodontic wires in the dental field for over 20 years. This book is a comprehensive overview to the field of Ni-Ti Materials and the physical, chemical and mechanical properties of this versatile alloy. In addition, complications and challenges exhibited in applications are also discussed.
From the Lab to Clinical Settings--Advances in Quantitative, Noninvasive Optical Diagnostics
Noninvasive fluorescence imaging techniques, novel fluorescent labels, and natural biomarkers are revolutionizing our knowledge of cellular processes, signaling and metabolic pathways, the underlying mechanisms for health problems, and the identification of new therapeutic targets for drug discoveries. Natural Biomarkers for Cellular Metabolism: Biology, Techniques, and Applications delves into the current state of knowledge on intrinsic fluorescent biomarkers and highlights recent developments in using these biomarkers for the metabolic mapping and clinical diagnosis of healthy and diseased cells and tissues.
Autofluorescent Biomarkers for Biomedical Diagnostics
The book's first section introduces the fundamentals of cellular energy metabolism as well as natural biomarkers within the context of their biological functions. The second section outlines the theoretical and technical background of quantitative, noninvasive, autofluorescence microscopy and spectroscopy methods, including experimental design, calibration, pitfalls, and remedies of data acquisition and analysis. The last two sections highlight advances in biomedical and biochemical applications, such as monitoring stem cell differentiation in engineered tissues and diagnosing cancer and ophthalmic diseases quantitatively and noninvasively.
Tailored to Interdisciplinary Researchers
Covering cell biology, imaging techniques, and clinical diagnostics, this book provides readers with a complete guide to studying cellular/tissue metabolism under healthy, diseased, and environment-induced stress conditions using natural biomarkers. The book is designed for graduate and advanced undergraduate students, biophysics instructors, medical researchers, and those in pharmaceutical R&D.
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