Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Decision-Oriented Rough Set Methods Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Formalization of Medical Diagnostic Rules

Authors : Shusaku Tsumoto, Shoji Hirano

Published in: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter On Generalized Decision Functions: Reducts, Networks and Ensembles
next chapter Multi-granularity Intelligent Information Processing
Footnotes
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
This probabilistic rule is also a kind of rough modus ponens [3].
 
3
However, determinic rule induction model is still powerful in knowledge discovery context as shown in [10].
 
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.
 
Literature
1.
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 (1985)
2.
3.
Pawlak, Z.: Rough modus ponens. In: Proceedings of International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems 1998, Paris (1998)
4.
Skowron, A., Grzymala-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. Wiley, New York (1994)
5.
Tsumoto, S.: Automated induction of medical expert system rules from clinical databases based on rough set theory. Inf. Sci. 112, 67–84 (1998)CrossRef
6.
Tsumoto, S.: Extraction of experts’ decision rules from clinical databases using rough set model. Intell. Data Anal. 2(3), 215–227 (1998)CrossRef
7.
Tsumoto, S.: Extraction of hierarchical decision rules from clinical databases using rough sets. Information Sciences (2003)
8.
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)
9.
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) CrossRef
10.
Tsumoto, S.: Automated discovery of positive and negative knowledge in clinical databases based on rough set model. IEEE Eng. Med. Biol. Mag. 19, 56–62 (2000)CrossRef
11.
Tsumoto, S.: Extraction of structure of medical diagnosis from clinical data. Fundam. Inform. 59(2–3), 271–285 (2004)MathSciNetMATH
12.
Tsumoto, S.: Rough sets and medical differential diagnosis. In: Skowron, A., Suraj, Z. (eds.) Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam. ISRL, vol. 42, pp. 605–621. Springer, Heidelberg (2013) CrossRef
13.
Tsumoto, S., Hirano, S.: Risk mining in medicine: application of data mining to medical risk management. Fundam. Inform. 98(1), 107–121 (2010)MathSciNetCrossRef
14.
Tsumoto, S., Hirano, S.: Detection of risk factors using trajectory mining. J. Intell. Inf. Syst. 36(3), 403–425 (2011)CrossRef
15.
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)CrossRef
16.
17.
Metadata
Title
Formalization of Medical Diagnostic Rules
Authors
Shusaku Tsumoto
Shoji Hirano
Copyright Year
2015
Book
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Print ISBN: 978-3-319-25782-2

Electronic ISBN: 978-3-319-25783-9

Copyright Year: 2015

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

Premium Partner

    Image Credits