Conditional random fields for clinical named entity recognition: A comparative study using Korean clinical texts

CRFs are a good candidate for implementing clinical NER in Korean clinical narrative documents. Increasing the training data and incorporating sophisticated feature engineering might improve the accuracy of identifying health information, enabling automated patient history summarization in the future.