Data Science for Healthcare PDF
By:Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
Published on 2019-02-23 by Springer
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.
This Book was ranked at 4 by Google Books for keyword medical computer application analyst.
Book ID of Data Science for Healthcare's Books is ytKJDwAAQBAJ, Book which was written bySergio Consoli,Diego Reforgiato Recupero,Milan Petkovićhave ETAG "nNCn6A7D8Ms"
Book which was published by Springer since 2019-02-23 have ISBNs, ISBN 13 Code is 9783030052492 and ISBN 10 Code is 3030052494
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Book which have "367 Pages" is Printed at BOOK under CategoryComputers
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