Hi Arron, Ctakes discovers text words and phrases by lookup using a subset of the UMLS https://uts.nlm.nih.gov/home.html ctakes then assigns a code to everything that it finds.
While you can employ various workarounds to remove "epilepsy" in when within "epilepsy clinic", these are not part of the standard ctakes distribution or workflow. Sean -----Original Message----- From: Lacey A.S. [mailto:a.s.la...@swansea.ac.uk] Sent: Thursday, October 20, 2016 6:56 PM To: dev@ctakes.apache.org Subject: Post co-ordinated SNOMED-CT with AggregatePlaintextFastUMLSProcessor Hi, Just wondering if someone could point me in the direction of how ctakes produces post coordinated SNOMED-CT? Using the AggregatePlaintextFastUMLSProcessor the individual concepts come out write nicely, however if you take the following phrase "I went to the Epilepsy Clinic", I can't see how the final pay coordinated SNOMED concepts are formed, and appears I have a list of sub concepts (pre-coordinated) that includes the disorder epilepsy (which merely going to the clinic would not confirm this. Any help would be great thanks - enjoying working with ctakes and hoping to include it in an NLP paper on some UK healthcare data. Arron Lacey Research Analyst SAIL Databank Swansea Neuroscience Research Group 01792 602023 a.s.la...@swansea.ac.uk
