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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing pp 24–35Cite as

Formalization of Medical Diagnostic Rules

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9437))

Abstract

This paper dicusses formalization of medical diagnostic rules which is closely related with rough set rule model. The important point is that medical diagnostic reasoning is characterized by focusing mechanism, composed of screening and differential diagnosis, which corresponds to upper approximation and lower approximation of a target concept. Furthermore, this paper focuses on detection of complications, which can be viewed as relations between rules of different diseases.

This research is supported by Grant-in-Aid for Scientific Research (B) 15H2750 from Japan Society for the Promotion of Science(JSPS).

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Notes

  1. 1.

    Implementation of detection of complications is not discussed here because it is derived after main two process, exclusive and inclusive reasoning. The way to deal with detection of complications is discussed in Sect. 5.

  2. 2.

    This probabilistic rule is also a kind of rough modus ponens [3].

  3. 3.

    However, determinic rule induction model is still powerful in knowledge discovery context as shown in [10].

  4. 4.

    The first term \(R=[a_i=v_j]\) may not be needed theoretically. However, since deriving conjunction in an exhaustive way is sometimes computationally expensive, here this constraint is imposed for computational efficiency.

References

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Acknowledgments

The author would like to thank past Professor Pawlak for all the comments on my research and his encouragement. Without his influence, one of the authors would neither have received Ph.D on computer science, nor become a professor of medical informatics. The author also would like to thank Professor Jerzy Grzymala-Busse, Andrezj Skowron, Roman Slowinski, Yiyu Yao, Guoyin Wang, Wojciech Ziarko for their insightful comments.

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Authors and Affiliations

  1. Faculty of Medicine, Department of Medical Informatics, Shimane University, 89-1 Enya-cho Izumo, Matsue, 693-8501, Japan

    Shusaku Tsumoto & Shoji Hirano

Authors
  1. Shusaku Tsumoto
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  2. Shoji Hirano
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Correspondence to Shusaku Tsumoto .

Editor information

Editors and Affiliations

  1. University of Regina, Regina, SK, Canada

    Yiyu Yao

  2. Tianjin University, Tianjin, China

    Qinghua Hu

  3. Chongqing University of Posts and Telecommunications, Chongqing, China

    Hong Yu

  4. University of Kansas, Lawrence, KS, USA

    Jerzy W. Grzymala-Busse

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Tsumoto, S., Hirano, S. (2015). Formalization of Medical Diagnostic Rules. In: Yao, Y., Hu, Q., Yu, H., Grzymala-Busse, J.W. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. Lecture Notes in Computer Science(), vol 9437. Springer, Cham. https://doi.org/10.1007/978-3-319-25783-9_3

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  • DOI: https://doi.org/10.1007/978-3-319-25783-9_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25782-2

  • Online ISBN: 978-3-319-25783-9

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