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Healthcare Data Analytics, Reddy Chandan K.


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Цена: 19140.00р.
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Автор: Reddy Chandan K.   (Чандан К. Редди)
Название:  Healthcare Data Analytics
Перевод названия: Чандан К. Редди: Аналитика медицинских данных
ISBN: 9781482232110
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1482232111
Обложка/Формат: Hardback
Страницы: 760
Вес: 1.57 кг.
Дата издания: 29.06.2015
Серия: Chapman & hall/crc data mining and knowledge discovery series
Язык: English
Иллюстрации: 46 tables, black and white; 193 illustrations, black and white
Размер: 186 x 263 x 50
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Databases, BUSINESS & ECONOMICS / Industries / Service,BUSINESS & ECONOMICS / Statistics,COMPUTERS / Databases / Data Mining
Основная тема: Data Preparation & Mining
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
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.




Project Management for Healthcare Informatics

Автор: Houston, Susan Bove, Lisa Anne
Название: Project Management for Healthcare Informatics
ISBN: 0387736824 ISBN-13(EAN): 9780387736822
Издательство: Springer
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Цена: 10798.00 р.
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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.

Learning Spark: Lightning-Fast Big Data Analytics

Автор: Hamstra Mark, Zaharia Matei
Название: Learning Spark: Lightning-Fast Big Data Analytics
ISBN: 1449358624 ISBN-13(EAN): 9781449358624
Издательство: Wiley
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Цена: 5067.00 р.
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Описание: Written by the developers of Spark, this book will have data scientists and engineers up and running in no time.

Data Mining and Predictive Analytics

Автор: Larose Daniel T
Название: Data Mining and Predictive Analytics
ISBN: 1118116194 ISBN-13(EAN): 9781118116197
Издательство: Wiley
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Цена: 18842.00 р.
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Описание: Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis.

The Data and Analytics Playbook

Автор: Lowell Fryman
Название: The Data and Analytics Playbook
ISBN: 0128023074 ISBN-13(EAN): 9780128023075
Издательство: Elsevier Science
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Цена: 7409.00 р.
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Описание:

The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration.

The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it.

In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization.

Formative Assessment, Learning Data Analytics and Gamification

Автор: Caballe, Santi
Название: Formative Assessment, Learning Data Analytics and Gamification
ISBN: 0128036370 ISBN-13(EAN): 9780128036372
Издательство: Elsevier Science
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Цена: 15159.00 р.
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Описание:

Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student progress given the explosion of e-learning environments, such as MOOCs and online courses that incorporate activities such as design and modeling. This book shows educators how to effectively garner intelligent data from online educational environments that combine assessment and gamification.

This data, when used effectively, can have a positive impact on learning environments and be used for building learner profiles, community building, and as a tactic to create a collaborative team. Using numerous illustrative examples and theoretical and practical results, leading international experts discuss application of automatic techniques for e-assessment of learning activities, methods to collect, analyze, and correctly visualize learning data in educational environments, applications, benefits and challenges of using gamification techniques in academic contexts, and solutions and strategies for increasing student participation and performance.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

Big Data Analytics for Sensor-Network Collected Intelligence

Автор: Hsu, Hui-Huang
Название: Big Data Analytics for Sensor-Network Collected Intelligence
ISBN: 0128093935 ISBN-13(EAN): 9780128093931
Издательство: Elsevier Science
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Цена: 15159.00 р.
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Описание:

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services.

It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality.

In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS


  • Contains contributions from noted scholars in computer science and electrical engineering from around the globe
  • Provides a broad overview of recent developments in sensor collected intelligence
  • Edited by a team comprised of leading thinkers in big data analytics
Big Data Analytics In Bioinformatics And Healthcare

Автор: Wang, Li & Perrizo
Название: Big Data Analytics In Bioinformatics And Healthcare
ISBN: 1466666110 ISBN-13(EAN): 9781466666115
Издательство: Mare Nostrum (Eurospan)
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Цена: 37145.00 р.
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Описание: As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information.Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.

Healthcare Informatics And Analytics

Автор: Tavana, Ghapanchi & Talaei-Khoei
Название: Healthcare Informatics And Analytics
ISBN: 1466663162 ISBN-13(EAN): 9781466663169
Издательство: Mare Nostrum (Eurospan)
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Цена: 34234.00 р.
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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.

How Healthcare Data Privacy Is Almo

Автор: Trinckes, Jr.
Название: How Healthcare Data Privacy Is Almo
ISBN: 1498783953 ISBN-13(EAN): 9781498783958
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание:

The healthcare industry is under privacy attack. The book discusses the issues from the healthcare organization and individual perspectives. Someone hacking into a medical device and changing it is life-threatening. Personal information is available on the black market. And there are increased medical costs, erroneous medical record data that could lead to wrong diagnoses, insurance companies or the government data-mining healthcare information to formulate a medical 'FICO' score that could lead to increased insurance costs or restrictions of insurance. Experts discuss these issues and provide solutions and recommendations so that we can change course before a Healthcare Armageddon occurs.

Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery

Автор: Walter W. Piegorsch
Название: Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery
ISBN: 111903065X ISBN-13(EAN): 9781119030652
Издательство: Wiley
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Цена: 2685.00 р.
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Описание: Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery.

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection

Автор: Baesens Bart, Verbeke Wouter, Van Vlasselaer Veron
Название: Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection
ISBN: 1119133122 ISBN-13(EAN): 9781119133124
Издательство: Wiley
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Цена: 6178.00 р.
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Описание: Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
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Цена: 17741.00 р.
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Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.


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