Abstract
This chapter discusses a correspondence between the core ideas of rough sets and medical differential diagnosis. Classically, a disease is defined as a set of symptoms, each of which gives the degree of confidence and coverage for the diagnosis. Diagnostic procedure mainly consists of the following three procedures: First, focusing mechanism (characterization) selects the candidates of differential diagnosis by using a set of symptoms. Secondly, additional set of symptoms make a differential diagnosis among the selected candidates. Finally, complications of other disease will be considered by symptoms which cannot be explained by the final candidates. This chapter mainly focuses on the first and second process and shows that these processes correspond to rules extracted by upper and lower approximation of supporting set of a given disease.
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References
Headache Classification Subcommittee of the International Headache Society: The international classification of headache disorders. Cephalalgia, 2nd edn., vol. 24 (suppl. 1), pp. 9–160 (2004)
Matsumura, Y., Matsunaga, T., Maeda, Y., Tsumoto, S., Matsumura, H., Kimura, M.: Consultation System for Diagnosis of Headache and Facial Pain: ”Rhinos”. In: Wada, E. (ed.) LP 1985. LNCS, vol. 221, pp. 287–298. Springer, Heidelberg (1986)
Pawlak, Z.: Rough Sets. Kluwer Academic Publishers, Dordrecht (1991)
Pawlak, Z.: Anatomy of conflics. Bulletin of the EATCS 50, 234–246 (1993)
Pawlak, Z.: Rough modus ponens. In: Proc. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 1998, pp. 1162–1166. La Sorbone, Paris (1998)
Pawlak, Z.: Some remarks on conflict analysis. European Journal of Operational Research 166(3), 649–654 (2005)
Skowron, A., Grzymała-Busse, J.: From rough set theory to evidence theory. In: Yager, R., Fedrizzi, M., Kacprzyk, J. (eds.) Advances in the Dempster-Shafer Theory of Evidence, pp. 193–236. John Wiley & Sons, New York (1994)
Tsumoto, S.: Automated induction of medical expert system rules from clinical databases based on rough set theory. Information Sciences 112, 67–84 (1998)
Tsumoto, S.: Extraction of experts’ decision rules from clinical databases using rough set model. Intelligent Data Analysis 2(3), 215–227 (1998)
Tsumoto, S.: Modelling Medical Diagnostic Rules Based on Rough Sets. In: Polkowski, L., Skowron, A. (eds.) RSCTC 1998. LNCS (LNAI), vol. 1424, pp. 475–482. Springer, Heidelberg (1998)
Tsumoto, S.: Automated discovery of positive and negative knowledge in clinical databases based on rough set model. IEEE Engineering in Medicine and Biology Magazine 19, 56–62 (2000)
Tsumoto, S.: Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic. Information Sciences 124, 125–137 (2000)
Tsumoto, S.: Automated extraction of hierarchical decision rules from clinical databases using rough sets. Expert Systems with Applications 24, 189–197 (2003)
Tsumoto, S.: Extraction of structure of medical diagnosis from clinical data. Fundam. Inform. 59(2-3), 271–285 (2004)
Tsumoto, S., Hirano, S.: Risk mining in medicine: Application of data mining to medical risk management. Fundam. Inform. 98(1), 107–121 (2010)
Tsumoto, S., Hirano, S.: Detection of risk factors using trajectory mining. J. Intell. Inf. Syst. 36(3), 403–425 (2011)
Tsumoto, S., Hong, T.P.: Special issue on data mining for decision making and risk management. J. Intell. Inf. Syst. 36(3), 249–251 (2011)
Tsumoto, S., Tanaka, H.: Automated discovery of medical expert system rules from clinical databases based on rough sets. In: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining 1996, pp. 63–69. AAAI Press, Palo Alto (1996)
Ziarko, W.: Variable precision rough set model. Journal of Computer and System Sciences 46, 39–59 (1993)
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Tsumoto, S. (2013). Rough Sets and Medical Differential Diagnosis. In: Skowron, A., Suraj, Z. (eds) Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam. Intelligent Systems Reference Library, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30344-9_23
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DOI: https://doi.org/10.1007/978-3-642-30344-9_23
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