Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable SystemsShow others and affiliations
2019 (English)Conference proceedings (editor) (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages
Heidelberg: Springer, 2019. , p. 174
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11979
Keywords [en]
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
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-41481DOI: 10.1007/978-3-030-37446-4Libris ID: p1w6n120mqk1hjkgISBN: 978-3-030-37446-4 (print)ISBN: 978-3-030-37446-4 (electronic)OAI: oai:DiVA.org:hh-41481DiVA, id: diva2:1390595
Conference
7th Conference on Artificial Intelligence in Medicine International Workshops (AIME 2019), KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26–29, 2019
Note
Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11979).
2020-02-012020-02-012025-10-01Bibliographically approved