Knowledge Graph Construction For Breast and Cervical Cancer
This study proposes a workflow for knowledge graph construction based on breast and cervical cancer medical texts.Firstly,the ontology is defined according to the clinical diagnosis and treatment guidelines and expert consensus of breast cancer and cervical cancer,and the unstructured text data in electronic medical records of breast cancer and cervical cancer are extracted through the trained entity-relationship extraction model,and then the knowledge graph of breast cancer and cervical cancer is constructed,which initially realizes the visual presentation of the knowledge graph of breast cancer and cervical cancer and the efficient retrieval of medical records based on the knowledge graph,and provides a new model support to organize,store and apply medical text data of breast cancer and cervical cancer,and also provides data support to clinical and scientific research.