Published literatures of Chinese case reports is used to build the medical treatment entity corpus and the auditing platform of corpus tagging to identify 4 medical treatment entities of diseases, symptoms, examinations and treatments in line with the semantic understanding of the context. A multi-feature named entity recognition approach for Chinese case reports is put forward based on the conditional random fields model through establishing features of characters, word boundary, contexts, and dictionaries. This approach is of higher recognition accuracy.