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Artificial Intelligence in Medicine : Knowledge Representation and Transparent and Explainable Systems

Marcos, Mar (editor)
Universitat Jaume I, Castellón, Spain
Juarez, Jose M. (editor)
University of Murcia, Murcia, Spain
Lenz, Richard (editor)
Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany
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Nalepa, Grzegorz J. (editor)
Jagiellonian University and AGH University of Science and Technology, Kraków, Poland
Nowaczyk, Sławomir, 1978- (editor)
Högskolan i Halmstad,CAISR Centrum för tillämpade intelligenta system (IS-lab)
Peleg, Mor (editor)
University of Haifa, Haifa, Israel
Stefanowski, Jerzy (editor)
Poznań University of Technology, Poznan, Poland
Stiglic, Gregor (editor)
University of Maribor, Maribor, Slovenia
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 (creator_code:org_t)
ISBN 9783030374464
Heidelberg : Springer, 2019
English 174 s.
Series: Lecture Notes in Computer Science, 0302-9743 1611-3349 ; 11979
  • Editorial proceedings (peer-reviewed)
Abstract Subject headings
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  • This book constitutes revised selected papers from the AIME 2019 workshops KR4HC/ProHealth 2019, the Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care, and TEAAM 2019, the Workshop on Transparent, Explainable and Affective AI in Medical Systems.The volume contains 5 full papers from KR4HC/ProHealth, which were selected out of 13 submissions. For TEAAM 8 papers out of 10 submissions were accepted for publication. © 2019 Springer Nature Switzerland AG. Part of Springer Nature.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Keyword

artificial intelligence
classification
computer hardware
computer systems
computer vision
data mining
databases
education
engineering
image analysis
image processing
internet
learning
linguistics
machine learning
mathematics
pattern recognition
semantics
signal processing

Publication and Content Type

ref (subject category)
pro (subject category)

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