The age of big data is in full swing, with researchers in both clinical medicine and public
health seeking to take advantage of the increasing availability of massive amounts of
electronic and administrative health data. In turn, this has led to substantial resources and
efforts being poured into the development and teaching of methods for data collection and
storage as well as machine learning analytic methods. 1 However, big data are not always
available, especially in the study of rare diseases. Indeed, in the study of rare diseases …