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Automatic diagnosis classification of patient discharge letters.

作者信息

Karanikolas Nikitas N, Skourlas Christos

机构信息

System Head, Areteion University Hospital, University of Athens, 76 Vas. Sofias, 115 28, Greece.

出版信息

Stud Health Technol Inform. 2002;90:444-9.

PMID:15460734
Abstract

CAIRN (Computer Assisted Medical Information Resource Navigation) is a prototyping System that allows flexible medical data storage and retrieval supporting medical informatics research. In this paper methods that automate the selection of ICD-9 diagnosis (International Classification of Diseases and Diagnoses, 9th Revision) are investigated. We present the Text Data Mining module extension of CAIRN and its application in order to organize in a systematic way uncontrolled terms, to propose relationships between uncontrolled terms and finally aid the diagnosis classification.

摘要

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