Establishing a Data Science Unit in an Academic Medical Center: An Illustrative Model.

The field of data science has great potential to address critical questions relevant for academic medical centers. Data science initiatives are consequently being established within academic medicine. At the cornerstone of such initiatives are scientists who practice data science.

A comparison of risk prediction methods using repeated observations: an application to electronic health records for hemodialysis.

An increasingly important data source for the development of clinical risk prediction models is electronic health records (EHRs). One of their key advantages is that they contain data on many individuals collected over time. This allows one to incorporate more clinical information into a risk model.