Data Science for Healthcare

Methodologies and Applications

Sergio Consoli, Milan Petkovic, Diego Reforgiato Recupero

  • Springer

  • Date de publication : 2019-02-23

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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.

  

Détails
Auteur
Sergio  Consoli , Milan  Petkovic , Diego  Reforgiato Recupero
Marque
Springer
Collection
n.c
Parution
2019-02-23
Pages
367 pages
EAN papier
9783030052485
Langue
Anglais
Informations ebook
EAN PDF
9783030052492
Prix
148,39 €
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Nb pages copiables 3
Nb pages imprimables 36
Taille du fichier 8858 Ko
Ce livre est accessible aux handicaps   Informations sur l'accessibilité
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