A fuzzy approach to temporal model-based diagnosis for intensive care units

Frontiers in Artificial Intelligence and Applications

Volumn 110, Issue , 2004, Pages 868-872

  Palma, Jośe ^a   Juárez, Jośe M ^a   Campos, Manuel ^a   Marín, Roque ^a  

^a UNIVERSITY OF MURCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BEHAVIORAL RESEARCH; DIAGNOSIS; FUZZY LOGIC;

BEHAVIORAL MODEL; CONTEXTUAL INFORMATION; FUZZY APPROACH; MODEL-BASED DIAGNOSIS; TEMPORAL EVOLUTION; TEMPORAL INFORMATION; TEMPORAL MODELS; TEMPORAL REASONING; TEMPORAL REPRESENTATIONS; UNCERTAINTY;

INTENSIVE CARE UNITS;

EID: 26444568095     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (17)

1. J. F. Allen, 'Maintaining knowledge about temporal intervals', Communications of the ACM, 26, 832-843, (1983).
2. V. Brusoni, L. Console, and P. Terenziani, 'Efficency query answering in later', in International Workshop on Temporal Respresentation and Reasoning TIME'95, pp. 121-128, (1995).
3. V. Brusoni, L. Console, P. Terenziani, and D. T. Dupŕe, 'A spectrum of definitions for temporal model-based diagnosis', Artificial Intelligence, 102, 39-79, (1998).
4. M. Campos, A.Ćarceles, J. Palma, and R.Maŕin, 'A general purporse fuzzy temporal information management engine', in Proceedings of the EurAsia-ICT 2002., pp. 93-97, (2002).
5. M. Campos, J. Palma, B.Llamas, A.Gonźalez, M. Meńargez, and R. Maŕin, 'Temporal data management and knowledge acquisition issues in medical decision support systems', 9th International Conference on Computer Aided Systems Theory, (EUROCAST 2003), Lecture Notes in Computer Science, 2809, 208-219, (2003).
6. M. A. Cardenas, R. Marin, and I. Navarrete, 'Fuzzy temporal constraint logic: A valid resolution principle', Fuzzy Sets and Systems, 2(117), 231-250, (2001).
7. L. Console, L. Protinale, and D. T. Dupŕe, 'Using compiled knowledge to guide focus abductive diagnosis', IEEE Transactions on Knowledge and Data Engineering, 8(5), 690-706, (1996).
8. L. Console and P. Torasso, 'On co-operation between abductive and temporal reasoning in medical diagnosis', Artificial Intelligence in Medicine, 3, 291-311, (1991).
9. M. Dojat, N. Ramaux, and D. Fontaine, 'Scenario recognition for temporal reasoning in medical domains', Artificial Intelligence in Medicine, 14, 139-155, (1999).
10. G. Friedrich and W. Nejdl, 'MOMO- model-based diagnosis for everybody', in Proc. Of the IEEE Conf. On Artificial Intelligence Applications, (1990).
11. J. Gamper and W. Nejdl, 'Abstract temporal diagnosis in medical domains', Artificial Intelligence in Medicine, 10(3), 1116-1122, (1997).
12. W. Hamscher, L. Console, and J. de Kleer, Readings in Model-Based Diagnosis, Morgan Kauffman, San Mateo, 1992.
13. W. Long, 'Temporal reasoning for diagnosis in causal probabilistic knowledge base', Artificial Intelligence in Medicine, 8, 193-215, (1996).
14. R. Maŕin, M. A. Ćardenas, M. Balsa, and J. L. Śanchez, 'Obtaining solutions in fuzzy constraint networks', International Journal of Approximate Reasoning, 3-4, 261-288, (1996).
15. J. Palma, R. Marin, J. L. Śanchez, and F. Palacios, 'A model-based temporal abductive diagnosis model for an intensive care coronary unit', in Fuzzy Logic in Medicine, 205-235, Speringer-Verlag), (2002).
16. J. Palma and R.Maŕin, 'Modelling contextual meta-knowledge in model based diagnosis', in Proceedings of the ECAI-2002, pp. 407-411, (2002).
17. P. Torasso, 'Multiple representations and multimodal reasoning in medical diagnostic systems', Artificial Intelligence in Medicine, 23, 49-69, (2001).