Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
Rough sets and intelligent data analysis
Information Sciences—Informatics and Computer Science: An International Journal
Case-Based Reasoning in CARE-PARTNER: Gathering Evidence for Evidence-Based Medical Practice
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Computers in Industry - Special issue: Process/workflow mining
Medical applications in case-based reasoning
The Knowledge Engineering Review
Artificial Intelligence in Medicine
IT support for healthcare processes - premises, challenges, perspectives
Data & Knowledge Engineering
Verification of Medical Guidelines Using Background Knowledge in Task Networks
IEEE Transactions on Knowledge and Data Engineering
Computer Methods and Programs in Biomedicine
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Case-Based Reasoning in the Health Sciences: Why It Matters for the Health Sciences and for CBR
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Journal of Biomedical Informatics
Position paper: The coming of age of artificial intelligence in medicine
Artificial Intelligence in Medicine
Design patterns for clinical guidelines
Artificial Intelligence in Medicine
Using case-base data to learn adaptation knowledge for design
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Case-based reasoning in the health sciences: What's next?
Artificial Intelligence in Medicine
Computer Methods and Programs in Biomedicine
A goal-oriented framework for specifying clinical guidelines and handling medical errors
Journal of Biomedical Informatics
ADEPT workflow management system: flexible support for enterprise-wide business processes
BPM'03 Proceedings of the 2003 international conference on Business process management
Acquiring case adaptation knowledge: a hybrid approach
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Variation prediction in clinical processes
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
Load-sensitive dynamic workflow re-orchestration and optimisation for faster patient healthcare
Computer Methods and Programs in Biomedicine
Discovery of clinical pathway patterns from event logs using probabilistic topic models
Journal of Biomedical Informatics
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Objectives: Efficient clinical treatment processes is considered a key factor of medical quality control. Current IT solutions are far away from this perspective since they typically have difficulty supporting the variances occurring in clinical practices, and providing adequate flexible support of clinical processes. Methods: This paper proposes a hybrid approach based on rough set theory and case-based reasoning to allow physicians to rapidly adjust patients' treatment processes to changes of patients' clinical states. In detail, the proposed approach recommends appropriate treatment plans in clinical process execution by adopting a similarity measure to select appropriate clinical treatment plans executed on patients who presented similar features to the current one. Such clinical treatment plans are then applied to suggest which actions to perform next in clinical treatment process execution. Results: As a motivating scenario, this study performs the experiments of type 2 diabetes patient's treatment process. The results show that the proposed approach is feasible to recommend suitable clinical treatment plans in clinical process execution, which makes adaptive clinical treatment processes possible.