This paper surveys on the recent trends of supervised document classification methods with a special focus on the medical context. In particular, the semantic document classification is considered, where some relevant general purpose algorithms are described. Then, relevant methods for semantic classification of medical documents are in the focus. The considered algorithms are categorised according to the adopted document representation or classifier. Finally, advancement of the state-of-the-art is proposed and described in the medical domain.
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