Описание: Medical informatics lies at the intersection of computer science and medicine, and understanding critical aspects of both fields provides for more proficient practitioners. Biomedical Informatics: An Introduction to Information Systems and Software in Medicine and Health supplies a cohesive narrative of the multidisciplinary concepts linking the field.This complete medical informatics textbook begins by reviewing the IT aspects of informatics, including systems architecture, electronic health records, interoperability, privacy and security, cloud computing, mobile healthcare, imaging, data capture, and design issues. Next, the text provides case studies that demonstrate the roll out of electronic health records (EHRs) in hospitals.The third section incorporates four anatomy and physiology lectures that focus on the physiological basis behind data captured in EHRs. Examples include detailed descriptions of the heart and electrical systems, lungs and alveoli, and oxygen exchange.The book includes a primer on the theoretical concepts that underpin the science behind medical informatics, including an Anatomy & Physiology Essentials guide. It also contains a tutorial on application development to help students understand the tools for improving user interfaces for EHRs on mobile platforms.The author uses a student-friendly organizational structure that supplies students with a clear demarcation between essential and optional material. The text supplies clear delineation between Level I, the basic concepts every biomedical informatics professional needs to master; Level II, applied concepts and examples; and Level III, advanced topics. This format allows undergraduate and graduate instructors and professionals in the field to focus quickly on the essential topics, and if interested, delve into Level III advanced topics.The book includes links to documents and standards sources so students can explore each idea described in more detail. Instructor’s manual, solutions manual, videos, figure slides, and lecture slides are available upon qualified course adoption.
Автор: Winkle Lewis Van Название: Hands-On Network Programming with C ISBN: 1789349869 ISBN-13(EAN): 9781789349863 Издательство: Неизвестно Рейтинг: Цена: 8642.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Network programming, a challenging topic in C, is made understandable through careful exposition of socket programming APIs. Keeping up with the current trends, you will gain an insight into web programming for IoT. Finally, you will learn how to monitor the network, troubleshoot problems, implement security, and understand best practices.
Описание: The increased and widespread availability of large network data resources in recent years has resulted in the increased need for effective methods for the analysis of these networks. The challenge is to detect patterns that provide a better understanding of the data. However, this is not a straight forward task because of the size of the data sets and the computer power required for the analyses. The solution is to devise methods for approximately answering the questions posed, and these methods will vary depending on the data sets under scrutiny. This cutting-edge text introduces graph and network theory, cluster analysis and machine learning, before discussing the thought processes and creativity involved in the analysis of large-scale biological and medical data sets, using a wide range of real-life examples. Bringing together leading experts, this inter-disciplinary text provides an ideal introduction to and insight into the field of network data analysis.
Автор: Guzzi, Pietro Hiram Название: Biological Network Analysis ISBN: 0128193506 ISBN-13(EAN): 9780128193501 Издательство: Elsevier Science Рейтинг: Цена: 15831.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book's authors discuss various graph theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare networks, this book is a timely resource.
Автор: J. Schnakenberg Название: Thermodynamic Network Analysis of Biological Systems ISBN: 354010612X ISBN-13(EAN): 9783540106128 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: According to this intention, the second edition of the book has been enlarged by further biological examples for network analysis, not by more network theory. Recent results for excitable systems represented by feedback networks have also been included in the second edition, especially for limit cycle networks.
Автор: Michael C. Whitlock, Dolph Schluter Название: The Analysis of Biological Data ISBN: 1319325343 ISBN-13(EAN): 9781319325343 Издательство: Macmillan Learning Рейтинг: Цена: 13858.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.
Автор: Evangelos Kranakis Название: Advances in Network Analysis and its Applications ISBN: 364243391X ISBN-13(EAN): 9783642433917 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Interacting newtowrks offer rich examples for modeling and understanding the behavior of complex systems. This book surveys applications relevant to network analysis, identifies new mathematical research areas and encourages cross-fertilization of ideas.
Описание: This book aims to provide a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics.
Автор: Graham, Bryan Название: The Econometric Analysis of Network Data ISBN: 0128117710 ISBN-13(EAN): 9780128117712 Издательство: Elsevier Science Рейтинг: Цена: 9262.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers, and data scientists seeking to perform effective analyses of networks, especially inference problems. It introduces the key results and ideas in an accessible, yet rigorous way, confining formal proofs to extensively annotated appendices. While a multi-contributor reference, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice. Each of the six contributions includes worked examples, describes relevant computational tools, provides a number of illustrative examples, and is supported by a companion site code repository.
Answers both 'why' and 'how' questions in network analysis
Describes multiple worked examples from the literature and beyond, allowing empirical researchers and data scientists to quickly access the 'state-of-the-art'
Fully supported by a companion site code repository that details simulations and representative empirical applications in Python, MATLAB, C++
Includes 40+ diagrams of 'networks in the wild' that help visually summarize key points
Описание: The textbook on analysis and visualization of social networks that integrates theory, applications, and professional software for performing network analysis. Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. Each chapter offers case studies for practicing network analysis.
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