Fundamentals of Clinical Data Science

Pieter Kubben is a neurosurgeon, mobile app developer and programme manager for eHealth and mHealth for the Maastricht University Medical Center. Telemonitoring and corresponding algorithm development is a particular focus area Dr Kubben is involved in, as well as interactive clinical decision support systems.Michel Dumontier is a distuinguished professor of data science at Maastricht University and head of the Institute for Data Science – connecting data science initiatives and projects from all faculties. He is also deeply involved in the FAIR data approach (Findable, Accessible, Interoperable, Reproducible). André Dekker is a professor of clinical data science at Maastricht University and has been leading the development of prediction models in radiation therapy for many years. He is also coordinator of the Personal Health Train project, aiming to facilitate “citizen science”..

• Data sources.- Data at scale.- Standards in healthcare data.- Using FAIR data / data stewardship.- Privacy / deidentification.- Preparing your data.- Creating a predictive model.- Diving deeper into models.- Validation and Evaluation of reported models.- Clinical decision support systems.- Mobile app development.- Operational excellence.- Value Based Healthcare (Regulatory concerns).