Data Science for Healthcare

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Data Science for Healthcare

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare.

Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising.

This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.

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Country USA
Brand Springer
Manufacturer Springer
Binding Hardcover
ItemPartNumber 54603954
ReleaseDate 2019-02-27
UnitCount 1
EANs 9783030052485

Country	USA
Brand	Springer
Manufacturer	Springer
Binding	Hardcover
ItemPartNumber	54603954
ReleaseDate	2019-02-27
UnitCount	1
EANs	9783030052485

Data Science for Healthcare

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