Journal of the Korean Data and Information Science Society
- Volume 14 Issue 4
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- Pages.817-824
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- 2003
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- 1598-9402(pISSN)
A Preliminary Study on Clinical Decision Support System based on Classification Learning of Electronic Medical Records
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.