MOMO—model-based diagnosis for everybody
Proceedings of the sixth conference on Artificial intelligence applications
A model and a language for the fuzzy representation and handling of time
Fuzzy Sets and Systems
On the computational complexity of querying bounds on differences constraints
Artificial Intelligence
Combining qualitative and quantitative constraints in temporal reasoning
Artificial Intelligence
A spectrum of definitions for temporal model-based diagnosis
Artificial Intelligence
Model-based diagnosis of hardware designs
Artificial Intelligence
Fuzzy Temporal/Categorical Information in Diagnosis
Journal of Intelligent Information Systems - Special issue on integrating artificial intelligene and database technologies
Maintaining knowledge about temporal intervals
Communications of the ACM
Using Compiled Knowledge to Guide and Focus Abductive Diagnosis
IEEE Transactions on Knowledge and Data Engineering
Quantitative and Qualitative Approaches to Reasoning under Uncertainty in Medical Decision Making
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
Monitoring and alarm interpretation in industrial environments
AI Communications
Situation recognition: representation and algorithms
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Integrating metric and qualitative temporal reasoning
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Diagnosis of continuous valued systems in transient operating regions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On the co-operation between abductive and temporal reasoning in medical diagnosis
Artificial Intelligence in Medicine
Temporal query processing with indefinite information
Artificial Intelligence in Medicine
AI in medicine on its way from knowledge-intensive to data-intensive systems
Artificial Intelligence in Medicine
Multiple representations and multi-modal reasoning in medical diagnostic systems
Artificial Intelligence in Medicine
Computing context-dependent temporal diagnosis in complex domains
Expert Systems with Applications: An International Journal
Temporal Abstraction of States Through Fuzzy Temporal Constraint Networks
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Temporal similarity by measuring possibilistic uncertainty in CBR
Fuzzy Sets and Systems
An Ambient Assisted Living System for Telemedicine with Detection of Symptoms
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Medical knowledge management for specific hospital departments
Expert Systems with Applications: An International Journal
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Using temporal constraints for temporal abstraction
Journal of Intelligent Information Systems
CBR outcome evaluation for high similar cases: a preliminary approach
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
Avian influenza: Temporal modeling of a human to human transmission case
Expert Systems with Applications: An International Journal
KR4HC'09 Proceedings of the 2009 AIME international conference on Knowledge Representation for Health-Care: data, Processes and Guidelines
Computing problem oriented medical records
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
If it may have happened before, it happened, but not necessarily before
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Medical pattern recognition: applying an improved intuitionistic fuzzy cross-entropy approach
Advances in Fuzzy Systems - Special issue on Hybrid Biomedical Intelligent Systems
Modeling Paradigms for Medical Diagnostic Decision Support: A Survey and Future Directions
Journal of Medical Systems
Discovering metric temporal constraint networks on temporal databases
Artificial Intelligence in Medicine
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Objective: The aim of this work is to provide a theoretical framework which is sufficiently expressive to describe temporal evolution of diseases, and also to propose a diagnostic process for building explanations of patient's observed temporal evolution based on these disease descriptions. Background: Model-based diagnosis (MBD) tackles the problem of troubleshooting systems by starting from a description of their structure and function (or behaviour). It is in this area where the use of deep causal models, as part of MBD systems, has shown its greater efficiency over classical rule based systems. From its beginnings, the temporal dimension was considered as an important component in MBD, since it makes it possible to define the dynamic behaviour. Several approaches have been proposed to represent time in MBD, enabling the representation of temporal concepts and relations, as well as the use of temporal reasoning mechanisms. Methodology: We first propose a temporal behavioural model (TBM), which allows us to capture the dynamics underlying temporal evolution of diseases and to include contextual information. Contextual information is required to model how contextual factors change the temporal evolution of diseases. The temporal component is modelled by fuzzy temporal constraints networks (FTCN), which makes the representation of quantitative and qualitative imprecise temporal information possible. We also provide a diagnostic process, which is based on a temporal adaptation of classical cover and differentiate method. Results: The TBM and diagnostic process proposed provides a unique framework which addresses three problems not dealt with together so far: (a) the inclusion of contextual information, (b) the expressivity of the solution provided, and (c) the evaluation of the diagnostic hypotheses. This proposal demonstrates that the FTCN formalism provides mechanisms sufficiently expressive to cope with the intrinsic imprecision in the description of diseases' temporal evolution. The explanation generated provides the user with a complete picture of the temporal evolution of diseases and its causal links, thus allowing the appearance of repeated instances of the same disease through time. Mechanisms are provided which evaluate the credibility of alternative hypotheses, based on possibility theory. A prototype is presented along with a knowledge acquisition tool that guides medical experts in the model building process. Conclusions: In this paper, we propose a model that tightly couples methods from MBD area with constraint-based temporal reasoning techniques. The proposed model allows us to model complex contextual relationships in a compact way as well as providing solutions expressive enough to be used for decision support purposes. The solution provided conforms a causal network entailing the abnormal observations, including pathophysiological and etiological states. Furthermore, different instances of the same diagnostic hypotheses, located at different time instants, are also possible in the final solution. Finally, we provide an analysis of related and future works.