|
의사결정 지원시스템을 위한 전자의무기록의 분류학습
|
| Abstract : We employed a hierarchical document classification method to classify a massive collection of electronic medical records(EMR) written in both Korean and English. Our experimental system has been learned from 5,000 records of EMR text data and predicted a newly given set of EMR text data over 68% correctly. We expect the accuracy rate can be improved greatly provided a dictionary of medical terms or a suitable medical thesaurus. The classification system might play a key role in some clinical decision support systems and various interpretation systems for clinical data. |
| keyword : Classification, electronic medical records, clinical decision support system, text mining |
연제분류
,
첨부한 파일 첨부한 e-poster파일
투고내용을 삭제하시려면 "삭제"버튼을 누르시고 다시 접수하여 주시기 바랍니다.
대한의료정보학회
Copyright (c) 2002 by The Korean Society of Medical Informatics |