LoveReading

Becoming a member of the LoveReading community is free.

No catches, no fine print just unadulterated book loving, with your favourite books saved to your own digital bookshelf.

New members get entered into our monthly draw to win £100 to spend in your local bookshop Plus lots lots more…

Find out more

Data Science for Healthcare Methodologies and Applications

by Sergio Consoli

Data Science for Healthcare Methodologies and Applications Synopsis

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.

Book Information

ISBN: 9783030052485
Publication date: 7th March 2019
Author: Sergio Consoli
Publisher: Springer Nature Switzerland AG
Format: Hardback
Pagination: 367 pages
Categories: Medical bioinformatics, Data mining, Artificial intelligence, Information retrieval, Data warehousing,

About Sergio Consoli

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 learning, 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 ...

More About Sergio Consoli

Share this book