We are involved in several educational activities:
- We teach data science to students of the “Klinische Technology” Master of Science program. This course aims to provide students the fundamentals of machine learning in a medical context. The course includes practical exercises that focus on the development of clinical prediction models. We hope to further extend this to a full curriculum on health data science to teach all medical students at the Erasmus MC the basics of this exciting multidisciplinary field.
- We teach patient-level prediction to students in epidemiology at the yearly summer school of Oxford University, UK:
- We provide tutorials on the OMOP-CDM and Patient-Level Prediction to researchers, regulators, and pharmaceutical companies. These courses explain the fundamentals of developing prediction models and how to apply them in a clinical context. Example tutorials are available on the OHDSI Youtube Channel in which we and OHDSI colleagues teach Patient-Level Prediction.
- We are involved in the development of the EHDEN Academy; a free, online e-learning platform to train researchers on the mapping of patient data in the OMOP Common Data Model and the use of Observational Health Data Sciences and Informatics (OHDSI) tools to perform health analysis.