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Big Data in Medical Science and Healthcare Management: Diagnosis, Therapy, Side Effects, Peter Langkafel


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Автор: Peter Langkafel
Название:  Big Data in Medical Science and Healthcare Management: Diagnosis, Therapy, Side Effects
ISBN: 9783110445282
Издательство: Walter de Gruyter
Классификация:



ISBN-10: 311044528X
Обложка/Формат: Hardback
Страницы: 290
Вес: 0.61 кг.
Дата издания: 27.11.2015
Серия: Economics/Business/Finance
Язык: English
Размер: 244 x 170 x 16
Читательская аудитория: Professional and scholarly
Ключевые слова: Health & safety issues,Pre-clinical medicine: basic sciences,Databases,Computer security, COMPUTERS / Databases / Data Mining,COMPUTERS / Security / General,HEALTH & FITNESS / Health Care Issues,MEDICAL / General
Поставляется из: Германии
Описание: Big Data in medical science – what exactly is that? What are the potentials for healthcare management? Where is Big Data at the moment? Which risk factors need to be kept in mind? What is hype and what is real potential? This book provides an impression of the new possibilities of networked data analysis and Big Data – for and within medical science and healthcare management.Big Data is about the collection, storage, search, distribution, statistical analysis and visualization of large amounts of data. This is especially relevant in healthcare management, as the amount of digital information is growing exponentially. An amount of data corresponding to 12 million novels emerges during the time of a single hospital stay. These are dimensions that cannot be dealt with without IT technologies. What can we do with the data that are available today? What will be possible in the next few years? Do we want everything that is possible? Who protects the data from wrong usage? More importantly, who protects the data from NOT being used?Big Data is the resource of the 21st century and might change the world of medical science more than we understand, realize and want at the moment. The core competence of Big Data will be the complete and correct collection, evaluation and interpretation of data. This also makes it possible to estimate the frame conditions and possibilities of the automation of daily (medical) routine. Can Big Data in medical science help to better understand fundamental problems of health and illness, and draw consequences accordingly?Big Data also means the overcoming of sector borders in healthcare management. The specialty of Big Data analysis will be the new quality of the outcomes of the combination of data that were not related before. That is why the editor of the book gives a voice to 30 experts, working in a variety of fields, such as in hospitals, in health insurance or as medical practitioners. The authors show potentials, risks, concrete practical examples, future scenarios, and come up with possible answers for the field of information technology and data privacy.


Healthcare Data Analytics

Автор: Reddy Chandan K.
Название: Healthcare Data Analytics
ISBN: 1482232111 ISBN-13(EAN): 9781482232110
Издательство: Taylor&Francis
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Цена: 19140.00 р.
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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.

Data Warehousing for Biomedical Informatics

Автор: Biehl
Название: Data Warehousing for Biomedical Informatics
ISBN: 1482215217 ISBN-13(EAN): 9781482215212
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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Data Warehousing for Biomedical Informatics is a step-by-step how-to guide for designing and building an enterprise-wide data warehouse across a biomedical or healthcare institution, using a four-iteration lifecycle and standardized design pattern. It enables you to quickly implement a fully-scalable generic data architecture that supports your organization's clinical, operational, administrative, financial, and research data. By following the guidelines in this book, you will be able to successfully progress through the Alpha, Beta, and Gamma versions, plus fully implement your first production release in about a year.

The Alpha version allows you to implement just enough of the basic design pattern to illustrate its core capabilities while loading a small sampling of limited data for demonstration purposes. This provides an easy way for everyone involved to visualize the new warehouse paradigm by actually examining a core subset of the working system. You can finish the Alpha version, also referred to as the proof-of-concept, in as little as 3-4 weeks.

The Beta version, which can be completed in about 2-3 months, adds required functionality and much more data. It allows you to get the full warehouse up and running quickly, in order to facilitate longer-term planning, user and support team training, and setup of the operational environment. The Gamma version, which is a fully-functional system-though still lacking data-can be implemented in about 3-4 months. About one year after starting, you will be ready to launch Release 1.0 as a complete and secure data warehouse.

Bio-Inspired Nanomaterials and Applications: Nano Detection, Drug/Gene Delivery, Medical Diagnosis and Therapy

Автор: Donglu Shi
Название: Bio-Inspired Nanomaterials and Applications: Nano Detection, Drug/Gene Delivery, Medical Diagnosis and Therapy
ISBN: 9814616915 ISBN-13(EAN): 9789814616911
Издательство: World Scientific Publishing
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Цена: 14256.00 р.
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Описание: This book intends to provide an up-to-date information in the field of nanobiomedicine. The focus of the book is on the basic concepts and recent developments in the field of nanotechnology.

Medical Data Management: A Practical Guide

Автор: Leiner, F.; Gaus, W.; Haux, R.; Knaup-Gregori, P. (Eds.) Leiner, F.; Gaus, W.; Haux, R.; Knaup-Gregori, P. (Eds.) Leiner, F.; Gaus, W.; Haux, R.; Knaup-Gregori, P. (Eds.)
Название: Medical Data Management: A Practical Guide
ISBN: 0387951598 ISBN-13(EAN): 9780387951591
Издательство: Springer
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Цена: 11179.00 р.
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Описание: Medical Data Management is a systematic introduction to the basic methodology of professional clinical data management. It is an invaluable resource for all health care professionals involved in designing, assessing, adapting, or using clinical data management systems in hospitals, outpatient clinics, study centers, health plans, etc.

Leading Complex Projects: A Data-Driven Approach t o Mastering the Human Side of Project Management

Автор: Merrow
Название: Leading Complex Projects: A Data-Driven Approach t o Mastering the Human Side of Project Management
ISBN: 111938219X ISBN-13(EAN): 9781119382195
Издательство: Wiley
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Цена: 5227.00 р.
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Описание: Quantitative analysis of outcomes vs PMs at the individual level Leading Complex Projects takes a unique approach to post-mortem analysis to provide project managers with invaluable insight.


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