Accounting for the temporal dimension in case-based retrieval: A framework for medical applications

Computational Intelligence

Volumn 22, Issue 3-4, 2006, Pages 208-223

  Montani, Stefania ^a   Portinale, Luigi ^a  

^a UNIVERSITY OF EASTERN PIEDMONT   (Italy)

Author keywords

Medical applications of CBR; Temporal CBR architecture; Time series retrieval

Indexed keywords

EMBEDDED SYSTEMS; HEMODIALYZERS; MEDICAL APPLICATIONS; TIME DOMAIN ANALYSIS; TIME SERIES ANALYSIS; TIME VARYING SYSTEMS;

CASE BASED REASONING SYSTEMS; TEMPORAL CBR ARCHITECTURE; TIME SERIES RETRIEVAL;

INFORMATION RETRIEVAL;

EID: 33750713347     PISSN: 08247935     EISSN: 14678640     Source Type: Journal    
DOI: 10.1111/j.1467-8640.2006.00284.x     Document Type: Article

References (40)

1. AAMODT, A., and E. PLAZA. 1994. Case-based reasoning: Foundational issues, methodological variations and systems approaches. AI Communications, 7:39-59.
2. AGRAWAL, R., C. FALOUTSOS, and A. N. SWAMI. 1993. Efficient similarity search in sequence databases. In Proceedings of the 4th International Conference of Foundations of Data Organization and Algorithms. Edited by D. Lomet. Springer-Verlag, Berlin, pp. 69-84.
3. ALLEN, J. F. 1984. Towards a general theory of action and time. Artificial Intelligence, 23:123-154.
4. BELLAZZI, R., C. LARIZZA, and A. RIVA. 1998. Temporal abstractions for interpreting diabetic patients monitoring data. Intelligent Data Analysis, 2:97-122.
5. BELLAZZI, R., C. LARIZZA, P. MAGNI, S. MONTANI, and M. STEFANELLI. 2000. Intelligent analysis of clinical time series: An application in the diabetes mellitus domain. Artificial Intelligence in Medicine, 20:37-57.
6. BERCHTOLD, S., D. A. KEIM, and H. P. KRIEGEL. 1996. The x-tree: An index structure for high-dimensional data. In Proceedings of the VLDB 96, Morgan Kaufman, San Mateo, CA, pp. 28-39.
7. BICHINDARITZ, I., and E. CONLON. 1996. Temporal knowledge representation and organization for case-based reasoning. In Proceedings TIME-96, IEEE Computer Society Press, Washington, DC, pp. 152-159.
8. BICHINDARITZ, I., and C. MARLING. 2004. In Second Workshop on Case-Based Reasoning in the Health Sciences, ECCBR 2004, Technical Report 142-04. Departamento de Sistemas Informaticos y Programacion, Univesidad Complutense de Madrid, Madrid.
9. BICHINDARITZ, I., and C. MARLING. 2005. Third Workshop on Case-Based Reasoning in the Health Sciences, ICCBR 2005. DePaul University, Chicago.
10. CHAN, K. P., and A. W C. FU. 1999. Efficient time series matching by wavelets. In Proceedings ICDE 99. IEEE Computer Society Press, Washington, DC, pp. 126-133.
11. FUCH, B., A. MILLE, and B. CHIRON. 1995. Operator decision aiding by adaptation of supervision strategies. In Case-Based Reasoning Research and Development, LNAI, Springer-Verlag, Berlin, pp. 23-32.
12. GUTTMAN, A. 1984. R-trees: A dynamic index structure for spatial searching. In Proceedings of the ACM SIGMOD, ACM Press, New York, pp. 47-57.
13. HEILAND, M. L. 2003. A survey of recent methods for efficient retrieval of similar time sequences. In Data Mining in Time Series Databases. Edited by M. Last, A. Kandel, and H. Bunke. World Scientific, London.
14. JACZYNSKI, M. 1997. A framework for the management of past experiences with time-extended situations. In Proceedings of the ACM Conference on Information and Knowledge Management (CIKM) 1997, ACM Press, New York, pp. 32-38.
15. JAERE, M. D, A. AAMODT, and P. SKALLE. 2002. Representing temporal knowledge for case-based prediction. In Proceedings of the European Conference on Case Based Reasoning (ECCBR) 2002, Lecture Notes in Artificial Intelligence 2416. Edited by S. Craw and A. Preece. Springer-Verlag, Berlin, pp. 174-188.
16. JAGADISH, H. V., A. O. MENDELZON, and T. MILO. 1995. Similarity based queries. In Proceedings of the 14th ACM Symp. on Principles of Database Systems, San Jose, CA.
17. KEOGH, E., K. CHAKRABARTI, M. PAZZANI, and S. MEHROTRA. 2000. Dimensionality reduction for fast similarity search in large time series databases. Knowledge and Information Systems, 3(3):263-286.
18. KEOGH, E. 1997. Fast similarity search in the presence of longitudinal scaling in time series databases. In Proceedings of the International Conference on Tools with Artificial Intelligence, IEEE Computer Society Press, Washington, DC, pp. 578-584.
19. KERAVNOU, E. T. 1995. Modeling medical concepts as time objects. In Proceedings AIME 1995, LNAI 934, Springer-Verlag, Berlin, pp. 67-90.
20. KOLODNER, J. L. 1993. Case-Based Reasoning. Morgan Kaufmann, San Mateo, CA.
21. MA, J., and B. KNIGHT. 2003. A framework for historical case-based reasoning. In Proceedings of the International Conference on Case-Based Reasoning (ICCBR) 2003, Lecture Notes in Artificial Intelligence 2689. Edited by K. D. Ashley and D. G. Bridge. Springer-Verlag, Berlin, pp. 246-260.
22. MONTANI, S., L. PORTINALE, R. BELLAZZI, and G. LEONARDI. 2004. Rhene: A case retrieval system for hemodialysis cases with dynamically monitored parameters. In Proceedings of the European Conference on Case Based Reasoning (ECCBR) 2004, Lecture Notes in Artificial Intelligence 3155. Edited by P. Funk and P. A. Gonzales Calero. Springer-Verlag, Berlin, pp. 659-672.
23. MONTANI, S., L. PORTINALE, G. LEONARDI, R. BELLAZZI, and R. BELLAZZI. 2005. Case-based retrieval to support the treatment of end stage renal failure patients. Artificial Intelligence in Medicine, 37:31-42.
24. NAKHAEIZADEH, G. 1994. Learning prediction from time series: A theoretical and empirical comparison of cbr with some other approaches. In Topics in Case-Based Reasoning, LNAI 837, Springer-Verlag, Berlin, pp. 65-76.
25. NILSSON, M., P. FUNK, E. OLSSON, and B. VON SCHEELE. 2005. Clinical decision-support for diagnosing stress-related disorders by applying psychophysiological medical knowledge to an instance-based learning system. Artificial Intelligence in Medicine (to appear).
26. OPPENHEIM, A.V., and R.W. SHAFER. 1975. Digital Signal Processing. Prentice Hall, London.
27. PALMA, J., J. M. JUAREZ, M. CAMPOS, and R. MARIN. 2004. A fuzzy approach to temporal model-based diagnosis for intensive care units. In Proceedings of the European Conference on Artificial Intelligence (ECAI) 2004. Edited by R. Lopez de Mantaras and L. Saitta. IOS Press, Amsterdam, pp. 868-872.
28. PATTERSON, D., M. GALUSHKA, and N. ROONEY. 2004. An effective indexing and retrieval approach for temporal cases. In Proceedings 17th FLAIRS 2004. AAAI Press, Miami, FL.
29. RAM, A., and J. C. SANTAMARIA. 1993. Continuous case-based reasoning. In Proceedings AAAI Case-Based Reasoning Workshop, pp. 86-93.
30. ROUGEGREZ, S. 1994. Similarity evaluation between observed behaviours for the prediction of processes. In Topics in Case-Based Reasoning, LNAI 837, Springer-Verlag, Berlin, pp. 155-166.
31. SACCHI, L., R. BELLAZZI, C. LARIZZA, P. MAGNI, T. CURK, U. PETROVIC, and B. ZUPAN. 2005. Ta-clustering: Cluster analysis of gene expression profiles through temporal abstractions. International Journal of Medical Informatics, 74:505-517.
32. SANCHEZ-MARRE, M., U. CORTES, M. MARTINEZ, J. COMAS, and I. RODRIGUEZ-RODA. 2005. An approach for temporal case-based reasoning: Episode-based reasoning. In Proceedings of the International Conference on Case-Based Reasoning (ICCBR) 2005, Chicago, August 2005. Edited by H. Munoz-Avila and F. Ricci. Springer, Berlin, pp. 465-476.
33. SCHMIDT, R., B. HEINDL, B. POLLWEIN, and L. GIERL. 1996. Abstraction of data and time for multiparametric time course prognoses. In Advances of Case-Based Reasoning, LNAI 1168, Springer-Verlag, Berlin, pp. 377-391.
34. SHAHAR, Y. 1997. A framework for knowledge-based temporal abstractions. Artificial Intelligence, 90:79-133.
35. SOLLENBORN, M., and M. NILSSON. 2004. Building a case-base for stress diagnosis: An analysis of classified respiratory sinus arrhythmia sequences. In Proceedings of Case-Based Reasoning in the Health Sciences Workshop, European Conference on Case-Based Reasoning (ECCBR) 2004, pp. 55-63.
36. STEPHEN, G. A. 1994. String searching algorithms. In Lecture Notes Series in Computing, Vol. 3. World Scientific.
37. SUBRAHMANIAN, V. S. 1998. In Principles of Multimedia Database Systems. Morgan Kaufmann, San Mateo, CA.
38. UKKONEN, E. 1985. Algorithms for approximate string matching. Information Control, 64:100-118.
39. UKKONEN, E. 1993. Approximate matching over suffix trees. In Lecture Notes in Computer Science, Vol. 684, Springer Verlag, Berlin, pp. 228-242.
40. XIA, B. B. 1997. Similarity search in time series data sets. Technical Report, School of Computer Science, Simon Fraser University.