RE: Filtering disease term precisely from EventMention and loading MedDRA library for cTAKES [EXTERNAL]

2017-09-11 Thread Gandhi Rajan Natarajan
A big thanks to Sean and Arron for taking time out and responding. Currently we are planning to make use of the XML generated by temporal demo application and parse the same to look for " textsem:DiseaseDisorderMention" tag and get the " ontologyConceptArr" attribute value of it, then match

RE: Filtering disease term precisely from EventMention and loading MedDRA library for cTAKES [EXTERNAL]

2017-09-11 Thread Finan, Sean
Hi Ghandi, "plan" is a synonym for C0270724: Infantile Neuroaxonal Dystrophy. One outcome of using generic dictionaries that can be used across multiple fields of interest is that a valid term in one field can be misapplied to text from another. Unwanted terms can be addressed per item by

RE: Filtering disease term precisely from EventMention and loading MedDRA library for cTAKES

2017-09-11 Thread Lacey A . S .
Hi Ganhdi - I think you may just have to gather all Snomed codes of interest, and then select only those terms that match. Snomed has a constraint language (https://confluence.ihtsdotools.org/display/DOCECL/A.1+Simple+Expression+Constraints+-+Valid+Expressions )that you can use to collect

RE: Filtering disease term precisely from EventMention and loading MedDRA library for cTAKES

2017-09-11 Thread Gandhi Rajan Natarajan
Hi All, Could someone please throw some light on this and help me out? Regards, Gandhi -Original Message- From: Gandhi Rajan Natarajan [mailto:gandhi.natara...@arisglobal.com] Sent: Saturday, September 09, 2017 11:52 PM To: dev@ctakes.apache.org Subject: Filtering disease term precisely