  Computational Drug Repositioning (CDR) is the task of discovering potential
new indications for existing drugs by mining large-scale heterogeneous
drug-related data sources. Leveraging the patient-level temporal ordering
information between numeric physiological measurements and various drug
prescriptions provided in Electronic Health Records (EHRs), we propose a
Continuous Self-controlled Case Series (CSCCS) model for CDR. As an initial
evaluation, we look for drugs that can control Fasting Blood Glucose (FBG)
level in our experiments. Applying CSCCS to the Marshfield Clinic EHR,
well-known drugs that are indicated for controlling blood glucose level are
rediscovered. Furthermore, some drugs with recent literature support for the
potential effect of blood glucose level control are also identified.
