Medical big data, characterized by the vast volume, complex structure and difficulty in analysis, includes clinical data, omics data, environment exposure, life-style, geospatial data, social media and behavioral data and other types of data with clinical significance. The important applications of these big data sets are disease prevention and treatment on population level, interpretation of specific disease mechanisms,gradually improve the precision medial of knowledge system, construction of clinical decision support system with autonomous learning ability, etc.