Call for Papers
13th International Workshop on Knowledge Representation for Health Care (KR4HC)
Organized as One Full Day Workshop
Acronym: KR4HC2023
Portoroz, Slovenia; June 15, 2023
In conjunction with the International Conference on Artificial Intelligence in Medicine (AIME2023)
Web site: https://sites.google.com/view/kr4hc2023/home
Submission site: https://easychair.org/conferences/?conf=kr4h2023
Knowledge representation in health care is a productive area of theories, standards, models, systems, and applications, with an active community of researchers and developers with no dedicated international specific event for this community to meet. Since 2009, the KR4HC workshop has been organized year after year (with the exception of 2020 and 2022) with a great level of participation, excellent quality of the works presented, and top quality publications of the best selected papers as Springer LNCS series books.
As it was observed in the previous editions of KR4HC, we expect that this new thirteenth edition of KR4HC could bring together a part of the KR in medicine community to present and discuss new ideas and technologies, as well as, to serve as a platform to discuss the progress of the field. Due to the growing interest of mixing machine learning and knowledge representation technologies to address new biomedical challenges, KR4HC 2023 will also welcome quality works on the challenging combination of machine learning technology and KR systems.
We dedicate this workshop to the late David Riano from the Universitat Rovira i Virgili in Tarragona, Spain. David was one of the key members of the AI in medicine research community, active researcher, and dedicated contributor to our research community. He was one of the brains behind a series of the KR4HC workshops and a Scientific Program Chair of AIME 2019 Conference. There will be a David Riano Best Paper Award for the workshop, every two years.
Format of the Workshop
The 1-day workshop will comprise accepted long and short papers, tool presentations, and one keynote by Prof. Peter Lucas.
Papers should be submitted in advance and will be reviewed by at least three members of the program committee. Informal proceedings will be available during the workshop. At least one author for each accepted paper should register for the workshop and present the paper.
Topics
The scope of the workshop includes, but is not limited to the following areas:
Knowledge and process modeling in health care
Computer-interpretable clinical guidelines and protocols for decision support
Combination of machine learning technology and knowledge representation systems
Workflow management in health care
Semantic interoperability in health care
Health care data standards for interoperability
Knowledge representation and ontologies for health care
Temporal knowledge representation and exploitation in health care
Facilitating acquisition of health care knowledge
Visualization, monitoring, and mining health care processes
Knowledge extraction from health care databases and electronic health records
Combination, personalization, and adaptation of health care knowledge
Adherence & compliance with health care recommendations and processes
Quality models for the evaluation of ontologies
Experiences in deploying knowledge-based tools in health care
Decision support technologies for multimorbid and co-morbid patients
Modeling and simulation of health care knowledge
Ambient intelligence & smart processes in health care
Process interoperability & standards in health care
Process-oriented system architectures in health care
KR-based health-care systems and methods experiences in real settings
Paper Submission
Prospective authors are invited to submit papers for presentation in any of the areas listed above. Only papers in English will be accepted. Three types of submissions are possible: (1) full papers (12-14 pages long, including references) reporting mature research results, (2) position papers reporting research that may be in preliminary stage not yet been evaluated, and (3) tool reports. Position papers and tool reports should be no longer than 6 pages. Papers must present original research contributions not concurrently submitted elsewhere.
Papers should be submitted in the LNCS format. The title page must contain a short abstract, a classification of the topics covered, preferably using the list of topics above, and an indication of the submission category (regular paper, position paper, or tool report).
Papers (in PDF format) should be submitted electronically via the Easychair system.
Important Dates
April 11, 2023: Abstract Submission
April 18, 2023: Paper Submission
April 23, 2023: Paper Submission
May 19, 2023: Paper Acceptance
June 5, 2023: Final Camera Ready Papers
KR4HC/ProHealth Workshop: June 15, 2023
Workshop Co-Chairs
Enea Parimbelli, University of Pavia, Pavia, Italy
Mor Peleg, University of Haifa, Haifa, Israel
Contact person: Enea Parimbelli (enea.parimbelli@gmail.com)
Program Committee
Luca Anselma - Università di Torino, Italy
Ronald Cornet, Amsterdam UMC, The Netherlands
Jesualdo Tomás Fernández-Breis, from Universidad de Murcia, Spain
Adela Grando, Department of Biomedical Informatics, Arizona State University
Giorgio Leonardi, Amedeo Avogadro University of Eastern Piedmont, Alessandria, Italy
Aneta Lisowska, Poznan University of Technology, Poland
Wendy MacCaull - Dept of Math/Stats/Comp Sci, St. Francis Xavier University, Antigonish, Canada
Mar Marcos, Universitat Jaume I, Castelló de la Plana, Spain
Begoña Martínez-Salvador, from Universitat Jaume I, Spain
Martin Michalowski - University of Minnesota, USA
Stefania Montani - University of Piemonte Orientale, Italy
Øystein Nytrø - Norwegian University of Science and Technology, Norway
Leon Osterweil - UMass Amherst, USA
Luca Piovesan, Università del Piemonte Orientale, Alessandria, Italy
Manuel Ottaviano, Universidad Politecnica de Madrid, Spain
Brigitte Seroussi - Assistance Publique - Hôpitaux de Paris, France
Maria Taboada - University of Santiago de Compostela, Spain
Paolo Terenziani - University of western Piedmont, Italy
Maria Taboada, University of Santiago de Compostela, Spain
Frank van Harmelen - Vrije Universiteit Amsterdam, The Netherlands
William Van Woensel, Telfer School of Management, University of Ottawa, Ottawa, ON, Canada
Dongwen Wang - Department of Biomedical Informatics, Arizona State University
Szymon Wilk, University of Institute of Computing Science, Poznan University of Technology, Poznan, Poland