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

AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26–29, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11979)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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About this book

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.

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Keywords

Table of contents (13 papers)

  1. KR4HC/ProHealth - Joint Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care

  2. TEAAM - Workshop on Transparent, Explainable and Affective AI in Medical Systems

Other volumes

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

Editors and Affiliations

  • Universitat Jaume I, Castellón, Spain

    Mar Marcos

  • University of Murcia, Murcia, Spain

    Jose M. Juarez

  • Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany

    Richard Lenz

  • Jagiellonian University and AGH University of Science and Technology, Kraków, Poland

    Grzegorz J. Nalepa

  • Halmstad University, Halmstad, Sweden

    Slawomir Nowaczyk

  • University of Haifa, Haifa, Israel

    Mor Peleg

  • Poznań University of Technology, Poznan, Poland

    Jerzy Stefanowski

  • University of Maribor, Maribor, Slovenia

    Gregor Stiglic

Bibliographic Information

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