Spiral removal of exceptional patients for mining chronic hepatitis data

Masatoshi Jumi, Muneaki Ohshima, Ning Zhong, Hideto Yokoi, Katsuhiko Takabayashi, Einoshin Suzuki

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, we propose a method which removes exceptional patients in a spiral manner for obtaining a definition of a disease in the form of a table of conditional probabilities and we describe its application to chronic hepatitis data. The removal is based on a risk-ratio-based criterion and can be supported by our previously developed data mining methods and medical experts. A series of experiments in which two domain experts decided exceptional patients to be removed show that our proposed method is effective and promising from various viewpoints such as obtaining new hypotheses and improving skills of domain experts. Another series of experiments in which exceptional patients were removed automatically led us to a rediscovery of a piece of knowledge, which had been reported in an article of a medical journal as the main result of the article.

Original languageEnglish
Pages (from-to)223-234
Number of pages12
JournalNew Generation Computing
Volume25
Issue number3
DOIs
Publication statusPublished - Aug 27 2007

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Mining
Data mining
Series
Experiments
Conditional probability
Experiment
Table
Data Mining
Skills
Form
Knowledge

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Spiral removal of exceptional patients for mining chronic hepatitis data. / Jumi, Masatoshi; Ohshima, Muneaki; Zhong, Ning; Yokoi, Hideto; Takabayashi, Katsuhiko; Suzuki, Einoshin.

In: New Generation Computing, Vol. 25, No. 3, 27.08.2007, p. 223-234.

Research output: Contribution to journalArticle

Jumi, Masatoshi ; Ohshima, Muneaki ; Zhong, Ning ; Yokoi, Hideto ; Takabayashi, Katsuhiko ; Suzuki, Einoshin. / Spiral removal of exceptional patients for mining chronic hepatitis data. In: New Generation Computing. 2007 ; Vol. 25, No. 3. pp. 223-234.
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