Artificial Intelligence in Medicine

16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings

  • Annette ten Teije
  • Christian Popow
  • John H. Holmes
  • Lucia Sacchi

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10259)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10259)

Table of contents

  1. Demo’s

    1. Manuel Arias, Miguel Ángel Artaso, Iñigo Bermejo, Francisco Javier Díez, Manuel Luque, Jorge Pérez-Martín
      Pages 356-360
    2. Elisa Salvi, Enea Parimbelli, Gladys Emalieu, Silvana Quaglini, Lucia Sacchi
      Pages 361-365
  2. Back Matter
    Pages 367-369

About these proceedings


This book constitutes the refereed proceedings of the 16th Conference on Artificial Intelligence in Medicine, AIME 2017, held in Vienna, Austria, in June 2017.
The 21 revised full and 23 short papers presented were carefully reviewed and selected from 113 submissions. The papers are organized in the following topical sections: ontologies and knowledge representation; Bayesian methods; temporal methods; natural language processing; health care processes; and machine learning, and a section with demo papers. 


artificial intelligence machine learning natural language processing ontologies Bayesian networks knowledge representation and reasoning data mining text mining machine learning algorithms information extraction clinical decision support sytems computer-aided diagnosis probabilistic reasoning modeling methodologies biomedical informatics statistics support vector machines

Editors and affiliations

  1. 1.Vrije Universiteit AmsterdamAmsterdamThe Netherlands
  2. 2.Medical University of ViennaViennaAustria
  3. 3.University of PennsylvaniaPhiladelphiaUSA
  4. 4.University of PaviaPaviaItaly

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-59757-7
  • Online ISBN 978-3-319-59758-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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