Abstract: An automatic medical knowledge curation system automatically extracts medical knowledge from multiple sources, including medical journals, publications and publication databases, and stores this extracted information in the form of a large-scale medical knowledge graph. The system identifies clinical, health and life insurance risk factor entities and medical management information including disease detection, smoking, alcohol consumption patterns, lifestyle information, diagnosis, prognosis, treatment, measuring, monitoring and reporting. The system determines relationships between clinical entities using machine learning and data mining methods. The system determines relationship strengths and can also determine missing and noisy relationships.