HEALTH SYSTEM DATA SCIENCE

Using public health big data such as the Korean National Health Insurance System's health claims data, we are interested in creating a big data platform that merges individual-level information with area-level environmental factors. With this platform, we aim to conduct a wide range of studies such as identifying individual- and area-level risk factors associated with major health outcomes, determining the effect of changes in health behaviors on patient prognosis, elucidating susceptible populations to major outcomes, and using healthcare utilization metrics such as patterns of care and continuity of care to predict patient outcomes... Emerging fusion databases have made way for opportunistic deep learning, where we can predict a unconventional, yet clinical relevant, medical outcomes using medical images with the help of deep learning. Furthermore, going beyond the ability to predict outcomes, we are interested in the real clinical implications of these deep learning-based..