Strategies in Biomedical Data Science : Driving Force for Innovation

Jay A Etchings

ISBN 10: 1119232198 / ISBN 13: 9781119232193

Published by Wiley Jan 2017, 2017

About this Item

Neuware - The ability to apply data science to the biomedical field unlocks the door to boundless innovation and advances in personalized medicine. However, much of the potentially groundbreaking insight big data provides gets lost in translation or goes overlooked due to a lack of transdisciplinary knowledge. Strategies in Biomedical Data Science is the bridge IT professionals need to understand biomedicine, and doctors and researchers need to realize what data and today's advanced technical tools can do for them.

Seller Inventory # 9781119232193

Bibliographic Details

• Title: Strategies in Biomedical Data Science : Driving Force for Innovation
• Publisher: Wiley Jan 2017
• Publication Date: 2017
• Language: English
• ISBN 10: 1119232198
• ISBN 13: 9781119232193
• Binding: Buch
• Condition: Neu
• Dimensions: 261W x 182H x 40D millimeters 261 millimeters width by 182 millimeters height by 40 millimeters depth
• Weight: 901 grams

About this title

Synopsis

An essential guide to healthcare data problems, sources, and solutions

Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals.

Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution.

• Consider the data challenges personalized medicine entails
• Explore the available advanced analytic resources and tools
• Learn how bioinformatics as a service is quickly becoming reality
• Examine the future of IOT and the deluge of personal device data

The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves.

About the Author

JAY A. ETCHINGS is the director of operations at Arizona State University’s Research Computing program, where he is responsible for developing innovative architectures to progress fluid technical environments supporting highly computational workloads, peta-scale data analysis, next-generation cyber capabilities, and emerging network innovations.