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Multilabel associative classification categorization of MEDLINE aticles into MeSH keywords

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3 Author(s)
Rak, R. ; Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta. ; Kurgan, L.A. ; Reformat, M.

The constantly increasing numbers of scientific documents and the extensive manual work associated with their description and classification requires intelligent classification capabilities for users to find required information. The article discusses an automated method for classification of medical articles into the structure of document repositories which would support currently performed extensive manual work

Published in:

Engineering in Medicine and Biology Magazine, IEEE  (Volume:26 ,  Issue: 2 )