- From: Kathrin Dentler <k.dentler@vu.nl>
- Date: Mon, 15 Jul 2013 07:21:24 +0200
- To: <public-semweb-lifesci@w3.org>
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.dentler@vu.nl | k.dentler@amc.uva.nl http://www.few.vu.nl/~kdr250/
Received on Monday, 15 July 2013 05:21:54 UTC