Purpose/Significance Based on big data, a cardiovascular and cerebrovascular electronic medical record (EMR) analysis platform is developed. By utilizing imaging data analysis techniques and clinical document analysis techniques, the platform provides patients with precise diagnosis, treatment plans, scientific administration, prognosis prediction, smart health education prescriptions and other precise services. Method/Process The medical ontology, knowledge rules and knowledge graph for cardiovascular and cerebrovascular diseases are developed and constructed by using Protégé. On the basis of constructing a knowledge graph, a knowledge base for clinical diagnosis, treatment, pathological analysis and prognosis judgment of cardiovascular and cerebrovascular diseases is formed. A EMR analysis platform for cardiovascular and cerebrovascular diseases is designed based on the knowledge base. Result/Conclusion The designed cardiovascular and cerebrovascular EMR analysis platform is conducive to providing personalized diagnosis and treatment plans for different populations, and providing patients with various precise diagnosis and treatment services.