Advanced Topics in Health Data Science

The course covers advanced methodologies for conducting research with health data. It begins by introducing the basics of health data science and progresses to the management of large-scale databases such as health informatics and Electronic Health Records (EHR) data. Following this foundation, students will learn techniques for studying large health data, including machine learning methods, generative modeling, and the development of robust and interpretable models. Prediction modeling, including its application in pandemic surveillance, will also be covered. Toward the end, we will discuss the important topics of ethical considerations, regulatory compliance, and data security when conducting research using health data.