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Incremental learning of probabilistic rules from clinical databases based on rough set theory.

Several rule induction methods have been introduced in order to discover meaningful knowledge from databases, including medical domain. However, most of the approaches induce rules from all the data in databases and cannot induce incrementally when new samples are derived. In this paper, a new appro...

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Detalhes bibliográficos
Main Authors: Tsumoto, S., Tanaka, H.
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Informatics Association 1997
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2233251/
https://ncbi.nlm.nih.gov/pubmed/9357616
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