Research on the Construction of a Breast Cancer Assistant Diagnosis and Treatment Knowledge Graph Based on Case-Based Reasoning Methods

By constructing a knowledge graph in the field of breast cancer and combining the knowledge graph with case-based reasoning methods, a conceptual model of adjuvant diagnosis and treatment of breast cancer is constructed, which provides a theoretical basis and implementation strategy for breast cancer diagnosis and treatment, Q&A and other related fields. Firstly, the data layer was constructed by combining the diagnosis and treatment data of breast diseases in specialized hospitals, related medical websites, and data in the field of breast cancer in the “Breast Cancer Diagnosis and Treatment Guidelines”. Secondly, combined with the ontology of breast cancer and empirical data ontology, the diagnosis and treatment pathway of breast cancer and the idea of evidence-based medicine were integrated to construct a model layer. Thirdly, through the OggDB database, the knowledge graph in the field of breast cancer is constructed, stored, displayed, and applied. Finally, the completed knowledge graph was combined with the case-based reasoning method to construct a conceptual model of adjuvant diagnosis and treatment of breast cancer. The knowledge graph aims to be applied to the conceptual model of assisted diagnosis and treatment of breast cancer based on case reasoning method, and serve the diagnosis and treatment process of breast diseases, so as to improve the efficiency of diagnosis and treatment of breast diseases.