Inferred joint multigram models for medical term normalization according to ICD.
International Journal of Medical Informatics(2018)
摘要
•Health records comprise valuable information written in a spontaneous register.•Matching spontaneous terms in standard ICD terminology is challenging: 7.71% found.•This work presents a system to aid human ICD coders find standard diagnostic terms.•Terminology normalization is tackled based on weighted finite-state transducers.•After the normalization, 94.91% accuracy was achieved.
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关键词
International Classification of Diseases,Electronic Health Records,Normalization,Finite State Models
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