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Optimizing Automated KCD Coding: A Retrieval-Verification Approach
- Lee, Sangji;
- Cha, Won Chul
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0초록
This study proposes a two-step Retrieval-Verification system for automating the assignment of Korean Standard Classification of Diseases (KCD) codes to free-text diagnoses. The system uses SapBERT-XLMR for initial retrieval, followed by Llama 3.1 for final verification and code selection. Combining the two models improved accuracy to 82.3%. Future work aims to improve the system's performance on abbreviations and conduct experiment with a larger dataset.
키워드
Clinical coding; Embedding; KCD; Language models
- 제목
- Optimizing Automated KCD Coding: A Retrieval-Verification Approach
- 저자
- Lee, Sangji; Cha, Won Chul
- 발행일
- 2025-05
- 유형
- Article
- 저널명
- Studies in health technology and informatics
- 권
- 327
- 페이지
- 872 ~ 873