Milan Petković

Sergio Consoli

Diego Reforgiato Recupero

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.

Methodologies and Applications

Data Science for Healthcare

Willem Jonker

This book constitutes the refereed proceedings of the 8th VLDB Workshop on Secure Data Management held in Seattle,WA, USA in September 2, 2011 as a satellite workshop of the VLDB 2011 Conference . The 10 revised full papers presented were carefully reviewed and selected from 19 submissions. The papers are organized in topical sections on privacy protection and quantification, security in cloud and sensor networks and secure data managment technologies.

Milan Petković

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