Phenonizer: A Fine-Grained Phenotypic Named Entity Recognizer for Chinese Clinical Texts

Figure 1

A workflow for clinical phenotypic symptom extraction in Chinese EMRs. We trained character embeddings with GloVe and W2V as baseline models. The data of TCM-HN and COVID-19 were annotated as gold standard corpus. All evaluation results were generated on test sets.