Big Data Analytics In Bioinformatics And Healthcare, Wang, Li & Perrizo
Автор: Houston, Susan Bove, Lisa Anne Название: Project Management for Healthcare Informatics ISBN: 0387736824 ISBN-13(EAN): 9780387736822 Издательство: Springer Рейтинг: Цена: 10798.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Through its use of real clinical examples, this book provides an explanation of the project management process tailored for nurses. Coverage includes the tools available to successfully complete each phase of the project management process and advance the project life cycle.
Автор: Tavana, Ghapanchi & Talaei-Khoei Название: Healthcare Informatics And Analytics ISBN: 1466663162 ISBN-13(EAN): 9781466663169 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 34234.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare practices have been enhanced through the use of information technologies and analytical methods. A cross between computer science, healthcare, and information science is needed for the optimization of data resources and information systems within the healthcare industry.Healthcare Informatics and Analytics: Emerging Issues and Trends introduces the latest research concerning the innovative implementation of information technology and data analysis in the healthcare field.Highlighting current concerns and recent advances in patient care and healthcare delivery, this book is a comprehensive reference source for academics, researchers, medical students, and healthcare practitioners interested in the application of information science within the health sector.
Автор: Dardel Название: Bioinformatics: Genomics & Post-genomics. 2006 ISBN: 0470020016 ISBN-13(EAN): 9780470020012 Издательство: Wiley Рейтинг: Цена: 10446.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bioinformatics is an extremely popular and rapidly growing new discipline that has evolved around the use of algorithmic and computer techniques to analyze large datasets being generated in genomics and related fields. Bioinformatics: Genomics and Post-Genomics provides a clear and concise introduction to the popular new science of bioinformatics.
Demystifies Biomedical and Biological Big Data Analyses
Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era.
The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery.
Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references.
Автор: Reddy Chandan K. Название: Healthcare Data Analytics ISBN: 1482232111 ISBN-13(EAN): 9781482232110 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available to solve healthcare problems.
The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent developments in healthcare computing and discusses emerging technologies that can help improve the health and well-being of patients. Written by prominent researchers and experts working in the healthcare domain, the book sheds light on many of the computational challenges in the field of medical informatics. Each chapter in the book is structured as a "survey-style" article discussing the prominent research issues and the advances made on that research topic. The book is divided into three major categories:
Healthcare Data Sources and Basic Analytics - details the various healthcare data sources and analytical techniques used in the processing and analysis of such data
Advanced Data Analytics for Healthcare - covers advanced analytical methods, including clinical prediction models, temporal pattern mining methods, and visual analytics
Applications and Practical Systems for Healthcare - covers the applications of data analytics to pervasive healthcare, fraud detection, and drug discovery along with systems for medical imaging and decision support
Computer scientists are usually not trained in domain-specific medical concepts, whereas medical practitioners and researchers have limited exposure to the data analytics area. The contents of this book will help to bring together these diverse communities by carefully and comprehensively discussing the most relevant contributions from each domain.
Автор: Larson Richard S. Название: Bioinformatics and Drug Discovery ISBN: 1588293467 ISBN-13(EAN): 9781588293466 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A collection of readily reproducible bioinformatic methods to advance the drug discovery process from gene identification to protein modeling to the identification of specific drug candidates. The authors demonstrate these techniques, including microarray analysis, the analysis of genes as potential drug targets, virtual screening and in silico protein design, and cheminformatics, in a variety of practical situations. Because these technologies are still emergent, each chapter contains an extended introduction that explains the theory and application of the technology and techniques described.
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