Title : Adaptive Systems for Healthcare and Wellbeing

Presenter Mark Hoogendoorn
Abstract In this talk I will present three recently started projects which concern the utilization of techniques from the domain or computational intelligence for healthcare and wellbeing. One project relates to generating predictive models for depression, the second project concerns predictive models for a form of cancer (CRC) whereas the third project addresses adaptation in the domain of pervasive computing. For several of the projects some preliminary results will be shown.

Title : Using Semantic Web Technologies to Reproduce a Pharmacovigilance Case Study

Presenter Michiel Hildebrand
Abstract I present our paper that is accepted for the 3rd International Workshop on Linked Science. The abstract of the paper: "We provide a detailed report of a reproduction study of a paper published in the International Journal of Medical Sciences (IJMS). We first use the PROV-O ontology to model our reconstruction of the computational workflow of the original experiment and to systematically explicate all information that is needed for a reproduction study. We then identify which part of the required information is published in the IJMS paper and what part is missing. We then discuss our reproduction of this workflow, following the original as much as possible. Again, we use PROV-O to precisely define our version of the workflow, including our version of the information that was missing in the IJMS paper of the study. Finally, we generalize from the specific cased described in the original paper by providing a web service that allows mining for arbitrary drug-adverse event pairs."