Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10259)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: AIME 2017.
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About this book
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.
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Keywords
- 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
Table of contents (44 papers)
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Machine Learning
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Demo’s
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Front Matter
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Back Matter
Other volumes
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Artificial Intelligence in Medicine
Editors and Affiliations
Bibliographic Information
Book Title: Artificial Intelligence in Medicine
Book Subtitle: 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings
Editors: Annette ten Teije, Christian Popow, John H. Holmes, Lucia Sacchi
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-59758-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-59757-7Published: 31 May 2017
eBook ISBN: 978-3-319-59758-4Published: 12 June 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXV, 369
Number of Illustrations: 75 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Mathematical Logic and Formal Languages, Programming Techniques, Programming Languages, Compilers, Interpreters