Data Science for Healthcare - Methodologies and Applications (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	March 2019
First published:	2019
Editors:	Sergio Consoli • Diego Reforgiato Recupero • Milan Petkovic
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	367
Edition:	1st ed. 2019
ISBN-13:	978-3-03-005248-5
Categories:	Books > Medicine > General issues > Medical equipment & techniques > General Books > Computing & IT > Applications of computing > Databases > Data warehousing Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-005248-6
Barcode:	9783030052485

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