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Determining weights of symptoms in a diagnostic inference

  • Ewa Straszecka

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The paper focuses on modeling weights of symptoms in medical diagnosis. A model of diagnostic inference is proposed in the framework of the Dempster-Shafer theory extended for fuzzy focal elements. The basic probability assignment defined in this theory estimates weights of symptoms. Two such assignments - determined for 'easy' diagnostic cases and 'difficult' cases, respectively, are calculated for training data, and next combined. Resulting values of the basic probability assigned to focal elements make knowledge about the diagnosis. An algorithm of tuning weights by means of training data is suggested and tested for a medical database from the Internet.

Original languageEnglish
Title of host publicationComputer Recognition Systems 2
EditorsMarek Kurzynski, Michal Wozniak, Andrzej Zolnierek, Edward Puchala
Pages542-549
Number of pages8
DOIs
Publication statusPublished - 2007

Publication series

NameAdvances in Soft Computing
Volume45
ISSN (Print)1615-3871
ISSN (Electronic)1860-0794

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mechanics
  • Computer Science Applications

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