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Case-Based Reasoning in the Health Sciences: Why It Matters for the Health Sciences and for CBR

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Book cover Advances in Case-Based Reasoning (ECCBR 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5239))

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Abstract

Biomedical domains have been an application domain of choice for artificial intelligence (AI) since its pioneering years in expert systems. Some simple explanations to this phenomenon are the intellectual complexity presented by this domain, as well as the dominant industry market share of healthcare. Following in AI’s tracks, case-based reasoning (CBR) has been abundantly applied to the health sciences domain and has produced an excellent as well as varied set of publications, which has fostered CBR research innovation to answer some of the research issues associated with this intricate domain. Some notable examples are synergies with other AI methodologies, and in particular with ontologies [8] and with data mining, the study of the temporal dimension in CBR, the processing of multimedia cases, and novel tasks for CBR such as parameter setting. However CBR has a major endeavor to take on in the health sciences: how to position itself with regard to statistics for studying data? Some claim that CBR proposes an alternative viewpoint on the concept of evidence in biomedicine; others that CBR and statistics complement one another in this domain. In any case, an interesting question to study is whether CBR could become one day as fundamental to the health sciences as statistics is today? This question in particular broadens the health sciences challenge to a universal scope.

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References

  1. Aamodt, A., Plaza, E.: Case-Based Reasoning: Foundational Issues, Methodologies Variations, and Systems Approaches. AI Communications 7(1), 39–59 (1994)

    Google Scholar 

  2. d’Aquin, M., Lieber, J., Napoli, A.: Adaptation Knowledge Acquisition: A Case Study for Case-Based Decision Support in Oncology. Computational Intelligence, 161–176 (2006)

    Google Scholar 

  3. Bareiss, E.R., Porter, B.W., Wier, C.C.: Protos: an exemplar-based learning apprentice. In: Proceedings of the Fourth International Workshop on Machine Learning, pp. 12–23. Morgan Kaufmann, Los Altos (1987)

    Google Scholar 

  4. Barnett, G.O., Cimino, J.J., Huppa, J.A.: Dxplain: an evolving diagnostic decision-support system. JAMA 258, 69–76 (1987)

    Article  Google Scholar 

  5. Berger, J.: Roentgen: Radiation Therapy and Case-based Reasoning. In: O’Leary, D., Selfridge, P. (eds.) Proceedings of the Conference on Artificial Intelligence Applications, pp. 171–177. IEEE Press, Los Alamitos (1994)

    Google Scholar 

  6. Bichindaritz, I.: A case based reasoner adaptive to several cognitive tasks. In: Veloso, M., Aamodt, A. (eds.) ICCBR 1995. LNCS, vol. 1010, pp. 391–400. Springer, Heidelberg (1995)

    Chapter  Google Scholar 

  7. Bichindaritz, I.: Prototypical Cases for Knowledge Maintenance for Biomedical CBR. In: Weber, R., Richter, M. (eds.) International Conference in Case-based Reasoning. LNCS (LNAI), pp. 492–506. Springer, Heidelberg (2007)

    Google Scholar 

  8. Bichindaritz, I.: Mémoire: Case-based Reasoning Meets the Semantic Web in Biology and Medicine. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 47–61. Springer, Heidelberg (2004)

    Google Scholar 

  9. Bichindaritz, I.: Case-Based Reasoning in the Health Sciences. Artificial Intelligence in Medicine 36(2), 121–125 (2006)

    Article  Google Scholar 

  10. Bichindaritz, I.: Memory Organization as the Missing Link between Case-Based Reasoning and Information Retrieval in Biomedicine. Computational Intelligence, 148–160 (2006)

    Google Scholar 

  11. Bichindaritz, I.: Prototypical Case Mining from Biomedical Literature. Applied Intelligence 28(3), 222–237 (2007)

    Article  Google Scholar 

  12. Bichindaritz, I., Kansu, E., Sullivan, K.M.: Case-based reasoning in care-partner: gathering evidence for evidence-based medical practice. In: Smyth, B., Cunningham, P. (eds.) Proceedings of the 4th European Workshop on CBR, pp. 334–345. Springer, Berlin (1998)

    Google Scholar 

  13. Bichindaritz, I., Marling, C.: Case-Based Reasoning in the Health Sciences: What’s Next? Artificial Intelligence in Medicine 36(2), 127–135 (2006)

    Article  Google Scholar 

  14. Bichindaritz, I., Seroussi, B.: Contraindre l’analogie par la causalite. Technique et Sciences Informatiques 11(4), 69–98 (1992)

    Google Scholar 

  15. Bradburn, C., Zeleznikow, J.: The application of case-based reasoning to the tasks of health care planning. In: Proceedings of the First European Workshop on CBR, pp. 365–378. Springer, Berlin (1993)

    Google Scholar 

  16. Coiera, E.: Guide to Health Informatics. Arnold Publications (2003)

    Google Scholar 

  17. Costello, E., Wilson, D.C.: A Case-Based Approach to Gene Finding. In: McGinty, L. (ed.) Workshop Proceedings of the Fifth International Conference on Case-Based Reasoning, NTNU, Trondheim, Norway, pp. 19–28 (2003)

    Google Scholar 

  18. Davies, J., Glasgow, J., Kuo, T.: Visio-Spatial Case-Based Reasoning: A Case Study in Prediction of Protein Structure. Computational Intelligence, 194–207 (2006)

    Google Scholar 

  19. Davis, G., Wiratunga, N., Taylor, B., Craw, S.: Matching SMARTHOUSE Technology to Needs of the Elderly and Disabled. In: McGinty, L. (ed.) Workshop Proceedings of the Fifth International Conference on Case-Based Reasoning, NTNU, Trondheim, Norway, pp. 29–36 (2003)

    Google Scholar 

  20. Dexter, P.R., Wolinsky, F.D., Gramelspacher, G.P.: Effectiveness of Computer-Generated Reminders for Increasing Discussions about Advance Directives and Completion of Advance Directive Forms. Annals of Internal Medicine 128, 102–110 (1998)

    Google Scholar 

  21. Dìaz, F., Fdze-Riverola, F., Corchado, J.M.: Gene-CBR: A Case-Based Reasoning Tool for Cancer Diagnosis using Microarray Datasets. Computational Intelligence, 254–268 (2006)

    Google Scholar 

  22. Dojat, M., Brochard, L., Lemaire, F., Harf, A.: A knowledge-based system for assisted ventilation of patients in intensive care units. International Journal of Clinical Monitoring and Computing 9, 239–250 (1992)

    Article  Google Scholar 

  23. Doyle, D., Cunningham, P., Walsh, P.: An Evaluation of the Usefulness of Explanation in a CBR System for Decision Support in Bronchiolitis Treatment. Computational Intelligence, 269–281 (2006)

    Google Scholar 

  24. El Balaa, Z., Strauss, A., Uziel, P., Maximini, K., Traphoner, R.: FM-Ultranet: A Decision Support System Using Case-Based Reasoning Applied to Ultrasonography. In: McGinty, L. (ed.) Workshop Proceedings of the Fifth International Conference on Case-Based Reasoning, NTNU, Trondheim, Norway, pp. 37–44 (2003)

    Google Scholar 

  25. Evans-Romaine, K., Marling, C.: Prescribing Exercise Regimens for Cardiac and Pulmonary Disease Patients with CBR. In: McGinty, L. (ed.) Workshop Proceedings of the Fifth International Conference on Case-Based Reasoning, NTNU, Trondheim, Norway, pp. 45–52 (2003)

    Google Scholar 

  26. Fenstermacher, K.D.: An application of case-based instruction in medical domains. In: Proceedings of the Spring Symposium on Artificial Intelligence in Medicine, pp. 50–54. AAAI Press/The MIT Press, Cambridge (1996)

    Google Scholar 

  27. Funk, P., Xiong, N.: Case-Based Reasoning and Knowledge Discovery in Medical Applications with Time Series. Computational Intelligence, 238–253 (2006)

    Google Scholar 

  28. Gierl, L.: Icons: cognitive basic functions in a case-based consultation system for intensive care. In: Andreassen, S., et al. (eds.) Proceedings of the 4th Conference on Artificial Intelligence in Medicine Europe, pp. 230–236. Elsevier Science Publishers, Amsterdam (1993)

    Google Scholar 

  29. Grimnes, M., Aamodt, A.: A two layer case-based reasoning architecture for medical image understanding. In: Smith, I., Faltings, B.V. (eds.) EWCBR 1996. LNCS, vol. 1168, pp. 164–178. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  30. Haddad, M., Adlassnig, K.P., Porenta, G.: Feasibility analysis of a case-based reasoning system for automated detection of coronary heart disease from myocardial scintigrams. Artificial Intelligence in Medicine 9(1), 61–78 (1997)

    Article  Google Scholar 

  31. Holt, A., Bichindaritz, I., Schmidt, R.: Medical Applications in Case-based Reasoning. The Knowledge Engineering Review 20(03), 289–292 (2005)

    Article  Google Scholar 

  32. Jänichen, S., Perner, P.: Conceptual Clustering and Case Generalization of 2-dimensional Forms. Computational Intelligence, 177–193 (2006)

    Google Scholar 

  33. Jurisica, I., Glasgow, J.: Applications of Case-Based Reasoning in Molecular Biology. AI Magazine 25(1), 85–95 (2004)

    Google Scholar 

  34. Kolodner, J.L., Kolodner, R.M.: Using Experience in Clinical Problem Solving: Introduction and Framework. IEEE Transactions on Systems, Man, and Cybernetics SMC-17(3), 420–431 (1987)

    Article  Google Scholar 

  35. Koton, P.: Reasoning about evidence in causal explanations. In: Proceedings of AAAI 1988. Seventh National Conference on Artificial Intelligence, pp. 256–261. Morgan Kaufmann, Palo Alto (1988)

    Google Scholar 

  36. Lopez, B., Plaza, E.: Case-Base Planning for medical diagnosis. In: Komorowski, J., Raś, Z.W. (eds.) ISMIS 1993. LNCS, vol. 689, pp. 96–105. Springer, Heidelberg (1993)

    Google Scholar 

  37. Macura, R.T., Macura, K.J., Toro, V.E., Binet, E.F., Trueblood, J.H., Ji, K.: Computerized case-based instructional system for computed tomography and magnetic resonance imaging of brain tumors. Investigative Radiology 29(4), 497–506 (1994)

    Article  Google Scholar 

  38. Marling, C.R., Petot, G.J., Sterling, L.S.: Integrating Case-Based and Rule-Based Reasoning to Meet Multiple Design Constraints. Computational Intelligence 15(3), 308–332 (1999)

    Article  Google Scholar 

  39. Marling, C.R., Whitehouse, P.J.: Case-based reasoning in the care of alzheimer’s disease patients. In: Aha, D.W., Watson, I. (eds.) ICCBR 2001. LNCS (LNAI), vol. 2080, pp. 702–715. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  40. McSherry, D.: Hypothetico-Deductive Case-based Reasoning. In: Wilson, D.C., Khemani, D. (eds.) Proceedings of Case-based Reasoning in the Health Sciences Workshop. International Conference on Case-based Reasoning (ICCBR), Belfast, pp. 315–326 (2007)

    Google Scholar 

  41. Miller, R.A., Pople Jr., H.E., Myers, J.D.: Internist-1, an experimental computer-based diagnostic consultant for general internal medicine. N. Engl. J. Med. 307(8), 468–476 (1982)

    Google Scholar 

  42. Montani, S.: Exploring new roles for case-based reasoning in heterogeneous AI systems for medical decision support. Applied Intelligence, 275–285 (2007)

    Google Scholar 

  43. Montani, S.: Case-based Reasoning for Managing Non-compliance with Clinical Guidelines. In: Wilson, D.C., Khemani, D. (eds.) Proceedings of Case-based Reasoning in the Health Sciences Workshop. International Conference on Case-based Reasoning (ICCBR), Belfast, pp. 325–336 (2007)

    Google Scholar 

  44. Montani, S., Bellazzi, R., Portinale, L., Stefanelli, M.: A multi-modal reasoning methodology for managing iddm patients. International Journal of Medical Informatics 256, 58–59, 243–256 (2000)

    Google Scholar 

  45. Montani, S., Portinale, L.: Accounting for the Temporal Dimension in Case-Based Retrieval: a Framework for Medical Applications. Computational Intelligence 22(3-4), 208–223 (2006)

    Article  MathSciNet  Google Scholar 

  46. Nilsson, M., Sollenborn, M.: Advancements and Trends in Medical Case-Based Reasoning: An Overview of Systems and System Development. In: Barr, V., Markov, Z. (eds.) Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference – Special Track on Case-Based Reasoning, pp. 178–183. AAAI Press, Menlo Park (2004)

    Google Scholar 

  47. Pantazi, S.V., Arocha, J.F.: Case-based Medical Informatics. BMC Journal of Medical Informatics and Decision Making 4(1), 19–39 (2004)

    Article  Google Scholar 

  48. Pantazi, S.V., Bichindaritz, I., Moehr, J.R.: The Case for Context-Dependent Dynamic Hierarchical Representations of Knowledge in Medical Informatics. In: Proceedings of ITCH 2007, pp. 123–134 (2007)

    Google Scholar 

  49. Perner, P.: Different Learning Strategies in a Case-Based Reasoning System for Image Interpretation. In: Smyth, B., Cunningham, P. (eds.) EWCBR 1998. LNCS (LNAI), vol. 1488, pp. 251–261. Springer, Heidelberg (1995)

    Chapter  Google Scholar 

  50. Schmidt, R., Montani, S., Bellazzi, R., Portinale, L., Gierl, L.: Case-Based Reasoning for Medical Knowledge-based Systems. International Journal of Medical Informatics 64(2-3), 355–367 (2001)

    Article  Google Scholar 

  51. Schmidt, R., Waligora, T., Gierl, L.: Predicting Influenza Waves with Health Insurance Data. Computational Intelligence, 224–237 (2006)

    Google Scholar 

  52. Schmidt, R., Waligora, T., Vorobieva, O.: Prototypes for Medical Case-Based Applications. In: Industrial conference on Data Mining. LNCS (LNAI). Springer, Heidelberg (in press, 2008)

    Google Scholar 

  53. Shahar, Y., Miksch, S., Johnson, P.: The Asgaard project: A task-specific framework for the application and critiquing of time-oriented clinical guidelines. Artificial Intelligence in Medicine 14, 29–51 (1998)

    Article  Google Scholar 

  54. Shortliffe, E.H.: Computer-Based Medical Consultations: MYCIN. Elsevier/North Holland, New York (1976)

    Google Scholar 

  55. Shortliffe, E.H., Buchanan, B.G.: Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. Addison-Wesley, Reading (1984)

    Google Scholar 

  56. Sinchenko, V., Westbrook, J., Tipper, S., Mathie, M., Coiera, E.: Electronic Decision Support Activities in different healthcare settings in Australia. In: Electronic Decision Support for Australia’s Health Sector, National Electronic Decision Support Taskforce, Commonwealth of Australia, (2003), http://www.health.gov.au/healthonline/nedst.htm

  57. Sokal, R.R., Rohlf, F.J.: Biometry. The Principles and Practice of Statistics in Biological Research. W.H. Freeman and Company, New York (2001)

    Google Scholar 

  58. Turner, R.M.: Organizing and using schematic knowledge for medical diagnosis. In: Proceedings of the First Workshop on CBR, pp. 435–446. Morgan Kaufmann, San Mateo (1988)

    Google Scholar 

  59. Vorobieva, O., Gierl, L., Schmidt, R.: Adaptation Methods in an Endocrine Therapy Support System. In: McGinty, L. (ed.) Workshop Proceedings of the Fifth International Conference on Case-Based Reasoning, NTNU, Trondheim, Norway, pp. 80–88 (2003)

    Google Scholar 

  60. Vorobieva, O., Rumyantsev, A., Schmidt, R.: ISOR-2: A Case-Based Reasoning System to Explain Exceptional Dialysis Patients. In: Industrial conference on Data Mining. LNCS (LNAI), pp. 173–183. Springer, Heidelberg (2007)

    Google Scholar 

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  1. Institute of Technology, University of Washington, Tacoma, 1900 Commerce Street, Box 358426, Tacoma, WA, 98402, USA

    Isabelle Bichindaritz

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  1. Isabelle Bichindaritz
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Klaus-Dieter Althoff Ralph Bergmann Mirjam Minor Alexandre Hanft

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Bichindaritz, I. (2008). Case-Based Reasoning in the Health Sciences: Why It Matters for the Health Sciences and for CBR. In: Althoff, KD., Bergmann, R., Minor, M., Hanft, A. (eds) Advances in Case-Based Reasoning. ECCBR 2008. Lecture Notes in Computer Science(), vol 5239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85502-6_1

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  • DOI: https://doi.org/10.1007/978-3-540-85502-6_1

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