Development of thai text-mining model for classifying ICD-10 TM

摘要

This paper presents a model for classifying ICD-10 TM using machine learning and information retrieval. The scope of this research take systematic approach for translating diagnosis from medical records to ICD-10 TM is proposed. First, an information retrieval is used to find similarity word in Thai and English diagnose. Then, machine learning approach is applied to classify ICD-10 TM by training models using Naïve Bayes algorithm. The result shows that our proposed approach can accurately classify ICD-10 TM in Thai-English diagnose at 81.41%.