I've been starting to work with cTAKES recently and trying out the clinical pipeline on some documents. I was wondering what were some of the first things that people are modifying to improve the performance? When I look at the annotations after running some discharge documents through, the performance on negation, history of, concept detection (medications, signs/symptoms, disease/disorder, etc), etc are not very good. Are there newer components or models that people are plugging in?
I've only just started working with it (although I have been following the project for some time) as a side project/proof of concept to try to get some funding for a bigger project. This looks like a very good starting point and I'm hoping to get a chance to work with it a lot more. I appreciate any advice the group might have. Thanks, Dave Kincaid
