Automated acquisition of rules from clinical databases and its evaluation

Shusaku Tsumoto, Hiroshi Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an approach to induction of rules from databases using rough set model. The system was evaluated on three clinical databases, and induced results were compared with other conventional rule induction methods and medical experts' rules. The results show that the introduced results outperforms other methods, but that the description length of induced rules is a little short, compared with that of experts' rules, which suggests that experts' rules are combination of different kinds of reasoning, rather than simple classification.

Original languageEnglish
Title of host publicationMedInfo 1998 - 9th World Congress on Medical Informatics
PublisherIOS Press
Pages649-653
Number of pages5
ISBN (Print)9051994079, 9789051994070
DOIs
Publication statusPublished - 1998 Jan 1
Event9th World Congress on Medical Informatics, MedInfo 1998 - Seoul, Korea, Republic of
Duration: 1998 Aug 181998 Aug 22

Publication series

NameStudies in Health Technology and Informatics
Volume52
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other9th World Congress on Medical Informatics, MedInfo 1998
CountryKorea, Republic of
CitySeoul
Period98/8/1898/8/22

Keywords

  • Data Mining
  • Knowledge Acquisition
  • Rough Sets
  • Rule Induction

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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