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

Figure 3

An overview of HCPSAS (http://www.tcmai.org). Our annotation system adopts human-machine collaborative annotation, in which the machine annotation includes dictionary-based entity matching, rule-based regular expression matching, and Phenonizer model recognition, and the manual annotation includes word-level annotation and document-level annotation. The iterative dictionary and rule base include standard dictionary and rule base, both of which are derived from annotation. The EMR corpus is regarded as datasets for our methods, and the structured EMRs are used for clinical analysis tasks such as patient subgroup and symptom cluster.