Topics of interests include but are not limited to:

• Machine learning methods, data mining and statistical methods for clinical decision support

• Probabilistic graphical models for clinical decision-making and causal networks

• Learning, representation and reasoning with time

• Knowledge representation, reasoning and formal argumentation in healthcare:

  • Machine learning methods, data mining and statistical methods for clinical decision support

  • Probabilistic graphical models for clinical decision-making and causal networks

• Learning, representation and reasoning with time

• Knowledge representation, reasoning and formal argumentation in healthcare

• Methods for diagnosis, treatment selection, treatment planning, and prognosis

• Monitoring patients in healthcare

• Ontologies and medical vocabularies

• Personalized medicine

• Computer-interpretable clinical guidelines

• Support for natural language generation/understanding in connection electronic patient records

• Tools for supporting authoring, execution and maintenance of clinical protocols and guidelines

• Tools for building and deployment of clinical decision-support systems