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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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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
American Medical Informatics Association
1997
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2233251/ https://ncbi.nlm.nih.gov/pubmed/9357616 |
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