Hi Andrea, For a first broad overview, this paper is a good starting point: Formal representation of eligibility criteria: A literature review http://www.sciencedirect.com/science/article/pii/S1532046409001592
For CDISC, there is ongoing work on OWL/RDF formats: http://www.cancer.gov/cancertopics/cancerlibrary/terminologyresources/cdisc http://kerfors.blogspot.nl/2012/05/semantic-models-for-cdisc-based.html Best, Kathrin Op 7/15/13 1:34 AM, Andrea Splendiani schreef:
Hi, I was wondering if somebody could provide some pointer to work going on in an area that is related to clinical trials: inclusion and exclusion criteria. (I have followed the recent thread on encoding Hamilton Disease and pointers). In, particular, I am interested in two things: Standards with substantial uptake (sub question: is CDISC's uptake actual or perspective ?). Modeling of inclusion/exclusion criteria, but with a particular twist: not modeling the questions, but the facts that are queried. Basically I am interested in modeling patients and conditions (to the level of detail required "usually" required by clinical trials). The subject itself can be very vast, but is there a framework which provides at least an upper perspective on how to model subjects's features, diseases, interventions, samples (also respect to time) ? Any pointer is welcome! best, Andrea Splendiani
-- Kathrin Dentler AI Department | Department of Medical Informatics Faculty of Sciences | Academic Medical Center Vrije Universiteit | Universiteit van Amsterdam k.dent...@vu.nl | k.dent...@amc.uva.nl http://www.few.vu.nl/~kdr250/
