Clinical Medical Big Data

     We aim at investigation of key computational technologies for handling massive, heterogeneous medical and healthcare big data, covering efficient data storage, dynamic management, fast indexing, information fusion, knowledge engineering and machine learning, and their applications on regional public health including personalized disease prediction, infectious disease forecasting, medical service surveillance and decision making.