Automatic diagnosis classification of patient discharge letters.
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.
System Head, Areteion University Hospital, University of Athens, 76 Vas. Sofias, 115 28, Greece. nnk@aretaieio.uoa.gr
Nikitas N
NN
Karanikolas
Christos
C
Skourlas
D004194:Disease / Q000145:classification*; D006115:Greece; D006801:Humans; D016247:Information Storage and Retrieval; D038801:International Classification of Diseases; D008490:Medical Informatics; D010351:Patient Discharge