Towards a general theory of action and time
Artificial Intelligence
A model for reasoning about persistence and causation
Computational Intelligence
Artificial Intelligence - Special issue on knowledge representation
Artificial Intelligence
A survey on temporal reasoning in artificial intelligence
AI Communications
Reasoning about temporal relations: a maximal tractable subclass of Allen's interval algebra
Journal of the ACM (JACM)
A framework for knowledge-based temporal abstraction
Artificial Intelligence
A unifying approach to temporal constraint reasoning
Artificial Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
The Art of Causal Conjecture
Towards a Comprehensive Treatment of Temporal Constraints in Clinical Guidelines
TIME '02 Proceedings of the Ninth International Symposium on Temporal Representation and Reasoning (TIME'02)
Reasoning about temporal relations: The tractable subalgebras of Allen's interval algebra
Journal of the ACM (JACM)
Probabilistic Temporal Interval Networks
TIME '04 Proceedings of the 11th International Symposium on Temporal Representation and Reasoning
Temporal Bayesian Network of Events for Diagnosis and Prediction in Dynamic Domains
Applied Intelligence
Cp-logic: A language of causal probabilistic events and its relation to logic programming
Theory and Practice of Logic Programming
Probabilistic temporal networks: A unified framework for reasoning with time and uncertainty
International Journal of Approximate Reasoning
Temporal Information Systems in Medicine
Temporal Information Systems in Medicine
Integrating metric and qualitative temporal reasoning
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
A temporal Bayesian network for diagnosis and prediction
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A generalization of the noisy-or model
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Artificial Intelligence in Medicine
Generalising the interaction rules in probabilistic logic
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks
Artificial Intelligence in Medicine
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Background: Clinical knowledge about progress of diseases is characterised by temporal information as well as uncertainty. However, precise timing information is often unavailable in medicine. In previous research this problem has been tackled using Allen's qualitative algebra of time, which, despite successful medical application, does not deal with the associated uncertainty. Objectives: It is investigated whether and how Allen's temporal algebra can be extended to handle uncertainty to better fit available knowledge and data of disease processes. Methods: To bridge the gap between probability theory and qualitative time reasoning, methods from probabilistic logic are explored. The relation between the probabilistic logic representation and dynamic Bayesian networks is analysed. By studying a typical, and clinically relevant problem, the detection of exacerbations of chronic obstructive pulmonary disease (COPD), it is determined whether the developed probabilistic logic of qualitative time is medically useful. Results: The probabilistic logic extension of Allen's temporal algebra, called Qualitative Time CP-logic provides a tool to model disease processes at a natural level of abstraction and is sufficiently powerful to reason with imprecise, uncertain knowledge. The representation of the COPD disease process gives evidence that the framework can be applied functionally to a clinical problem. Conclusion: The combination of qualitative time and probabilistic logic offers a useful framework for modelling knowledge and data to describe disease processes in clinical medicine.