cover

Data Science for Healthcare

Methodologies and Applications

Editors: Consoli, Sergio, Reforgiato Recupero, Diego, Petković, Milan (Eds.)

  • Connects machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies to healthcare applications.
  • Highlights the successful application of these technologies in various healthcare areas. 
  • Intended for data scientists involved in the healthcare or medical sector.
  •       
see more benefits

Buy this book

eBook 91,62 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: March 24, 2019
  • ISBN 978-3-030-05249-2
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 114,39 €
price for Spain (gross)
  • Due: March 24, 2019
  • ISBN 978-3-030-05248-5
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.
  

About the authors

Sergio Consoli is a Senior Scientist within the Data Science department at Philips Research, Eindhoven, focusing on advancing automated analytical methods used to extract new knowledge from data for health-tech applications. Sergio's education and scientific experience fall in the areas of data science, operations research, artificial intelligence, knowledge engineering, machine earning, and disasters management. He is author of several research publications in peer-reviewed international journals, edited books, and leading conferences in the fields of his work.
Diego Reforgiato Recupero is Associate Professor at the Department of Mathematics and Computer Science of the University of Cagliari, Italy. His interests span from Semantic Web, graph theory and smart grid optimization to sentiment analysis, data mining, big data, machine and deep learning and natural language processing. He is also affiliated within the ISTC institute at the National Research Council (CNR) and co-founder of six ICT companies two of which are university spin-offs. He is author of more than 90 journal, conference papers and book chapters in his research domains.
Milan Petković is the head of the Data Science department in Philips Research which conducts innovation projects for Philips in the domain of data analytics, advanced data management and security. He is also a part-time full professor at the Eindhoven University of Technology. Among his research interests are data science, big data analytics, information security and privacy protection. Milan is also a vice president of the Big Data Value Association, which supports big data public private partnership. He has published more than 50 journal and conference papers as well as several books including a book on “Security, Privacy and Trust in Modern Data Management”.

Buy this book

eBook 91,62 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: March 24, 2019
  • ISBN 978-3-030-05249-2
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 114,39 €
price for Spain (gross)
  • Due: March 24, 2019
  • ISBN 978-3-030-05248-5
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Data Science for Healthcare
Book Subtitle
Methodologies and Applications
Editors
  • Sergio Consoli
  • Diego Reforgiato Recupero
  • Milan Petković
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-05249-2
DOI
10.1007/978-3-030-05249-2
Hardcover ISBN
978-3-030-05248-5
Edition Number
1
Number of Pages
XII, 367
Topics