The Knowledge Management Education Hub

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The International Workshop on Knowledge Representation for Health Care (KR4HC) focuses on representing and reasoning with medical knowledge in computers as a means to support knowledge management and clinical decision-making as well as the challenging combination of machine learning technology and knowledge representation systems.

Workshop History:

13th KR4HC 2023, June 15, 2023, Portoroz, Slovenia
(In conjunction with AIME – Conference on Artificial Intelligence in Medicine, Jun 12-15)

Note: The 13th KR4HC was originally scheduled for June 2022 in Halifax, Canada, in conjunction with AIME

Topics:
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
Health care data standards for interoperability
Knowledge representation and ontologies for 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

Keynotes:
Is there a place for Medical Knowledge Representation in the Age of Deep Learning?

Workshop Sessions:
TBD

AIME Sessions:
TBD

AIME Tutorials:
TBD

12th KR4HC 2021, June 16, 2021, Porto, Portugal Virtual venue
(In conjunction with AIME – Conference on Artificial Intelligence in Medicine, Jun 15-18)

Keynotes:
The Role of FAIR guiding principles for an effective Learning Health System

Workshop Sessions:
Representation of procedural knowledge; Learning models; Learning with knowledge

AIME Sessions:

Temporal Data Analysis; Unsupervided Learning; Planning and Decision Support; Deep Learning; Natural Language Procession; Knowledge Representation and Rule Mining

AIME Tutorials:
Using Machine Learning on mHealth-based Data Sources
Machine learning for complex medical temporal sequences
Data Science for Starters: How to Train and be Trained

11th KR4HC 2019, June 29, 2019, Poznan, Poland
(KR4HC-ProHealth Joint workshop with the 12th ProHealth – International Workshop on Process-oriented Information Systems in Healthcare; In conjunction with AIME – Conference on Artificial Intelligence in Medicine, Jun 26-29)

Keynotes:
Multi-morbid and Poorly Motivated Patient: How to Arrive at a Right Therapy and Help with Adhering to It

Workshop Sessions:
Knowledge sharing and integration; Knowledge representation for decision-support; Abstraction and knowledge extraction for clinical processes

AIME Sessions:
Deep Learning; Knowledge Representation; Clustering, Natural Language Processing, and Decision Support; General Machine Learning; Unsupervised Learning

10th KR4HC 2018, July 13-14, 2018, Stockholm, Sweden
(Part of the Joint Workshop on Artificial Intelligence in Health (CARE, KR4HC/ProHealth and AI4HC workshops); In Conjunction with IJCAI-ECAI – International Joint Conference and European Conference on Artificial Intelligence, Jul 13-19 – part of the Federated AI Meeting)

Workshop Tracks:
Agents in Healthcare; Data Science and Decision Systems in Medicine; Knowledge Management in Healthcare

Workshop Sessions:
Data Science; Agents in Healthcare, Data Science and Decision Systems in Medicine, Knowledge Management in Healthcare; Agents in Healthcare

9th KR4HC 2017, June 24, 2017, Vienna, Austria
(KR4HC-ProHealth Joint workshop with the 10th ProHealth – International Workshop on Process-oriented Information Systems in Healthcare; In conjunction with AIME – Conference on Artificial Intelligence in Medicine, Jun 21-24)

Keynotes:
How Linked (Open?) Data can benefit Healthcare systems

Workshop Sessions:
Temporal Analysis and Representation. Simulation.; Modeling and Decision Support. Data Analysis.; Natural Language Processing and Deep Learning

AIME Sessions:
Ontologies and Knowledge Representation; Natural Language Processing; Machine Learning

8th KR4HC 2016, September 2, 2016, Ludwig-Maximilians-University Munich, Munich, Germany
(KR4HC-ProHealth Joint workshop with the 9th ProHealth – International Workshop on Process-oriented Information Systems in Healthcare; In conjunction with HCE – Health – Exploring Complexity, Aug 28 – Sep 2)

Keynotes:
Can existing biomedical ontologies be more useful for EHR and DSS?

Workshop Sessions:
Clinical Quality, Evaluation, and Simulation; Computer Guideline Engineering and Usage; Computer Guideline Engineering and Usage; Comorbidity and Clinical Process Management

HCE Sessions:
—

7th KR4HC 2015, June 20, 2015, University of Pavia, Pavia, Italy
(KR4HC-ProHealth Joint workshop with the 8th ProHealth – International Workshop on Process-oriented Information Systems in Healthcare; In conjunction with AIME – Conference on Artificial Intelligence in Medicine, Jun 17-20)

Keynotes:
Evolution and Revolution in Knowledge-Driven Health IT: A 50-Year Perspective and a Look Ahead

Workshop Sessions:
Knowledge-Driven Health IT; Clinical Guideline and Clinical Pathway Support; Mobile Process and Decision Support; Health Information Systems and Clinical Data

AIME Sessions:
Data Mining and Machine Learning; Temporal Data Mining; Text Mining; Knowledge Representation and Guidelines

6th KR4HC 2014, July 21, 2014, Vienna University of Technology, Vienna, Austria
(In conjunction with KR – International Conference on Principles of Knowledge Representation and Reasoning, Jul 20-24, part of the Vienna Summer of Logic (VSL), Jul 9-24)

Keynotes:
Knowledge-Intensive Medical Process Similarity

Workshop Sessions:
Modeling Clinical Guidelines; Exploring and Assessing Clinical Guidelines; Training and Learning; Linking Electronic Patient Records

5th KR4HC 2013, June 1, 2013, Universidad de Murcia, Múrcia,Spain
(KR4HC-ProHealth Joint workshop with the 6th ProHealth – International Workshop on Process-oriented Information Systems in Healthcare; In conjunction with AIME – Conference on Artificial Intelligence in Medicine, May 29 – Jun 1)

Keynotes:
How Ontologies can Improve Semantic Interoperability in Health Care

Workshop Sessions:
Semantic Interoperability in Health Care; Modeling Clinical Guidelines; Knowledge-based Techniques for Handling Clinical Data; Context-aware Services and Guidance

AIME Sessions:
Decision Support, Guidelines and Protocols; Semantic Technology; Machine Learning; Probabilistic Modelling and Reasoning; Temporal Data Visualization and Analysis; Natural Language Processing

4th KR4HC 2012, September 3, 2012, Tallinn, Estonia
(KR4HC-ProHealth Joint workshop with the 5th ProHealth – International Workshop on Process-oriented Information Systems in Healthcare; In conjunction with the International Conference on Business Process Management (BPM), Sep 3-6)

Keynotes:
The Elicitation, Representation, Application, and Automated Discovery of Time-Oriented Declarative Clinical Knowledge: The Hidden Aspect of Supporting the Automated Application of Procedural Medical Knowledge

Workshop Sessions:
Guidelines and Summarization; Archetypes and Semantic Integration; Process Mining and Time

BPM Sessions:
—

3rd KR4HC 2011, July 6, 2011, Bled, Slovenia
(In conjunction with AIME – Conference on Artificial Intelligence in Medicine, July 2-6)

Keynotes:
The Human Cli-Knome Project: Building a Universal, Formal, Procedural and Declarative Clinical Knowledge Base for the Automation of Therapy and Research

Workshop Sessions:
Health Processes; Patient Records, Medical Costs, and Clinical Trials; Clinical Guidelines; Poster Session

AIME Sessions:
Knowledge-Based Systems; Data Mining; Probabilistic Modeling and Reasoning; Terminologies and Ontologies; Temporal Reasoning and Temporal Data Mining; Natural Language Processing

2nd KR4HC 2010, August 17, 2010, University of Lisbon, Lisbon, Portugal
(In conjunction with ECAI – European Conference on Artificial Intelligence, Aug 16-20)

Keynotes:
—

Workshop Sessions:
Ontologies; Medical Process; Patient data, records & guidelines; Guidelines; Poster Session

1st KR4HC 2009, July 19, 2009, University of Verona, Verona, Italy
(In conjunction with AIME – Conference on Artificial Intelligence in Medicine, Jul 18-22)
Workshop Theme: Knowledge Representation for Health-Care: Data, Processes and Guidelines

Keynotes:
The Changing Nature of Biomedical Research: Semantic e-Science

Workshop Sessions:
From Patient Data to Medical Ontologies; Temporal Reasoning; Argumentation; Modelling Guidelines: (1) Tools, (2) Knowledge Engineering; Live System Demostrations

AIME Sessions:
Temporal Reasoning and Temporal Data Mining; Case-Based Reasoning; Knowledge-Based and Decision-Support Systems; Ontologies, Terminologies and Natural Language; Data Mining, Machine Learning, Classification and Prediction; Probabilistic Modeling and Reasoning;

Workshop Predecessors:

Knowledge Management for Health Care Procedures (K4HelP), July 21, 2008, Patras, Greece
(In conjunction with ECAI – European Conference on Artificial Intelligence, Aug 21-25)

Keynotes:
Building Internet Digital Libraries for Patients and Professionals – Do They Have an Impact?

Workshop Sessions:
Technologies for Managing Procedural Knowledge in Medicine; Methodologies for Managing Procedural Knowledge in Medicine; Systems for Managing Procedural Knowledge in Medicine

From Medical Knowledge to Global Health Care (K4CARE), July 7, 2007, Amsterdam, The Netherlands
(In conjunction with AIME – Conference on Artificial Intelligence in Medicine, Jul 7-11)

Keynotes:
—

Workshop Sessions:
Data and Knowledge representation and combination; Computer-based knowledge generation in health care; Knowledge-based health care systems; Discussion

AIME Sessions:
Temporal Data Mining; Machine Learning and Knowledge Discovery; Text Mining, Natural Language Processing and Generation; Ontologies; Decision Support Systems

Machine Learning and Management of Health-Care Procedural Knowledge, June 20-22, 2007, Maribor, Slovenia
(Special Track in conjunction with CBMS – IEEE International Symposium on Computer-Based Medical Systems)