Automated acquisition of rules from clinical databases and its evaluation.

S. Tsumoto, H. Tanaka

Research output: Contribution to journalArticlepeer-review


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
Pages (from-to)649-653
Number of pages5
JournalMedinfo. MEDINFO
Volume9 Pt 1
Publication statusPublished - 1998 Jan 1


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