Abstract
So far, Case-Based Reasoning has not become as successful in medicine as in some other application domains. One, probably the main reason is the adaptation problem. In Case-Based Reasoning the adaptation task still is domain dependent und usually requires specific adaptation rules. Furthermore, in medicine adaptation is often more difficult than in other domains, because usually more and complex features have to be considered. We have developed some programs for endocrine therapy support, especially for hypothyroidism. In this paper, we do not present them in detail, but focus on adaptation. We do not only summarise experiences with adaptation in medicine, but we want to elaborate typical medical adaptation problems and hope to indicate possibilities how to solve them.
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Aamodt, A., Plaza, E.: Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Communications 7(1), 39–59 (1994)
Stottler, R., et al.: Rapid retrieval algorithms for case-based reasoning. In: Proc. of 11th Int Joint Conference on Artificial Intelligence, pp. 233–237. Morgan Kaufmann Publishers, San Mateo (1989)
Broder, A.: Strategies for efficient incremental nearest neighbor search. Pattern Recognition 23, 171–178 (1990)
Quinlan, J.: C4.5, Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo (1993)
Bergmann, R., Wilke, W.: Towards a new formal model of transformational adaptation in case-based reasoning. In: Gierl, L., Lenz, M. (eds.) Proceedings of th German Workshop on CBR, pp. 43–52. University of Rostock (1998)
Fuchs, B., Mille, A.: A knowledge-level task model of adaptation in case-based reasoning. In: Althoff, K.-D., Bergmann, R., Branting, L.K., et al. (eds.) ICCBR 1999. LNCS (LNAI), vol. 1650, pp. 118–131. Springer, Heidelberg (1999)
Gierl, L., Bull, M., Schmidt, R.: CBR in Medicine. In: Lenz, M., Bartsch-Spörl, B., Burkhard, H.-D., Wess, S. (eds.) Case-Based Reasoning Technology. LNCS (LNAI), vol. 1400, pp. 273–297. Springer, Heidelberg (1998)
Schmidt, R., Montani, S., Bellazzi, E., Portinale, L., Gierl, L.: Case-Based Reasoning for Medical Knowledge-based Systems. Int J Med Inform 64(2-3), 355–367 (2001)
Nilsson, M., Sollenborn, M.: Advancements and trends in medical case-based Reasoning: An overview of systems and system developments. In: Proc of FLAIRS, pp. 178–183. AAAI Press, Menlo Park (2004)
Perner, P.: Why Case-Based Reasoning is Attractive for Image Interpretation. In: Aha, D.W., Watson, I. (eds.) ICCBR 2001. LNCS (LNAI), vol. 2080, pp. 27–43. Springer, Heidelberg (2001)
Schmidt, R., et al.: Medical multiparametric time course prognoses applied to kidney function assessments. Int J Med Inform 53(2-3), 253–264 (1999)
Dugas, M.: Clinical applications of Intranet-Technology. In: Dudeck, J., et al. (eds.) New Technologies in Hospital Information Systems, pp. 115–118. IOS Press, Amsterdam (1997)
Montani, S., et al.: Diabetic patient’s management expoiting Case-based Reasoning techniques. Computer Methods and Programs in Biomedicine 62, 205–218 (2000)
Bichindaritz, I., et al.: Case-based reasoning in CARE-PARTNER: Gathering evidence for evidence-based medical practice. In: Smyth, B., Cunningham, P. (eds.) EWCBR 1998. LNCS (LNAI), vol. 1488, pp. 334–345. Springer, Heidelberg (1998)
Koton, P.: Reasoning about evidence in causal explanations. In: Kolodner, J. (ed.) First Workshop on CBR, pp. 260–270. Morgan Kaufmann Publishers, San Mateo (1988)
Schmidt, R., Gierl, L.: Case-based Reasoning for Antibiotics Therapy Advice: An Investigation of Retrieval Algorithms and Prototypes. Artificial Intelligence in Medicine 23(2), 171–186 (2001)
Gierl, L., Stengel-Rutkowski, S.: Integrating consultation and semi-automatic knowledge acquisition in a prototype-based architecture: Experiences with Dysmorphic Syndromes. Artificial Intelligence in Medicine 6, 29–49 (1994)
Petot, G.J., Marling, C., Sterling, L.: An artificial intelligence system for computer-assisted menu planing. Journal of American Diet Assoc 98(9), 1009–1014 (1998)
Wilke, W., Smyth, B., Cunningham, P.: Using Configuration Techniques for Adaptation. In: Lenz, M., Bartsch-Spörl, B., Burkhard, H.-D., Wess, S. (eds.) Case-Based Reasoning Technology. LNCS (LNAI), vol. 1400, pp. 139–168. Springer, Heidelberg (1998)
Jurisica, I., et al.: Case-based reasoning in IVF: prediction and knowledge mining. Artificial Intelligence in Medicine 12, 1–24 (1998)
Schmidt, R., Gierl, L.: Prognostic Model for Early Warning of Threatening Influenza Waves. In: Minor, M., Staab, S. (eds.) Proc 1st German Workshop on Experience Management, Köllen, Bonn, pp. 39–46 (2002)
Bichindaritz, I.: From cases to classes: Focusing on abstraction in case-based reasoning. In: Burkhard, H.-D., Lenz, M. (eds.) Proc of 4th German Workshop on CBR, pp. 62–69. Humboldt University, Berlin (1996)
Turner, R.: Organizing and using schematic knowledge for medical diagnosis. In: Kolodner, J. (ed.) First Workshop on CBR, pp. 435–446. Morgan Kaufmann Publishers, San Mateo (1988)
Schmidt, R., Vorobieva, O., Gierl, L.: Adaptation problems in therapeutic case-based reasoning systems. In: Palade, V., Howlett, R.J., Jain, L. (eds.) KES 2003. LNCS, vol. 2773, pp. 992–999. Springer, Heidelberg (2003)
Hampel, R.: Diagnostik und Therapie von Schilddrüsenfunktionsstörungen. UNI-MED Verlag, Bremen (2000)
DeGroot, L.J.: Thyroid Physiology and Hypothyroidsm. In: Besser, G.M., Turner, M. (eds.) Clinical endocrinilogy, ch. 15. Wolfe, London (1994)
Tversky, A.: Features of similarity. Psychological review 84, 327–352 (1977)
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Schmidt, R., Vorobieva, O. (2005). Adaptation and Medical Case-Based Reasoning Focusing on Endocrine Therapy Support. In: Miksch, S., Hunter, J., Keravnou, E.T. (eds) Artificial Intelligence in Medicine. AIME 2005. Lecture Notes in Computer Science(), vol 3581. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527770_42
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DOI: https://doi.org/10.1007/11527770_42
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