Advanced Data Analytics in Health

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Health & Well Being, Medical
Cover of the book Advanced Data Analytics in Health by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319779119
Publisher: Springer International Publishing Publication: April 20, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319779119
Publisher: Springer International Publishing
Publication: April 20, 2018
Imprint: Springer
Language: English

This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.

More books from Springer International Publishing

Cover of the book Engineering and Enterprise by
Cover of the book Scheduling with Time-Changing Effects and Rate-Modifying Activities by
Cover of the book Feminist Perspectives on Building a Better Psychological Science of Gender by
Cover of the book Exploring the History of New Zealand Astronomy by
Cover of the book Acoustic Emission by
Cover of the book Software Engineering Research, Management and Applications by
Cover of the book Key Issues in English for Specific Purposes in Higher Education by
Cover of the book Balanced Ethics Review by
Cover of the book Urban Studies and Entrepreneurship by
Cover of the book Contemporary Architecture and Urbanism in Iran by
Cover of the book Planetary Passport by
Cover of the book Evolution of the Vertebrate Ear by
Cover of the book Reduced Order Methods for Modeling and Computational Reduction by
Cover of the book Hernia Surgery by
Cover of the book Modern Age Environmental Problems and their Remediation by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy