Assigning SNOMED codes to natural language pathology reports
نویسنده
چکیده
A method is presented that enables automatic classification of medical diagnoses through their reports in natural language. The method is based on the nearest neighbor rule: classification of a new case by assigning to it the same codes as the most similar case in the archive. A simulation experiment showed that in 84% of the trials a suitable classification was contained within the first five alternatives.
منابع مشابه
Object-oriented controlled-vocabulary translator using TRANSOFT + HyperPAD.
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