Hi Raymond,
If you use the dictionary-fast module there exists an entry "feeling bad" with
cui 557911 and cui 231218. There is also "feel bad" and "feeling bad
emotionally"
You will find "horrible present pain" but no other entry with "horrible". You
will not find any terms with "awful" and probably many other desired words. If
you are really interested in slang "crappy", "lousy", etc. then they are
definitely not present.
What you can do is create a second dictionary. There are example custom
dictionaries in
-dictionary-lookup-fast-res/src/main/resources/org/apache/ctakes/dictionary/lookup/fast/example/bsv/
You should look at custom_cui_bsv.bsv if you want to specify term unique id
codes and term text alone. If you want to add tui/group codes then look at
custom_cui_tui_bsv.bsv - you will probably want to model your dictionary after
this so that you can tag your terms with tuis for "symptoms".
You will want to imitate sections from the corresponding .xml file in that
directory. Make a copy of cTakesHsql.xml (two dirs up) and add lines:
CustomCuiRareWord
org.apache.ctakes.dictionary.lookup2.BsvRareWordDictionary
And
CustomCuiConcept
org.apache.ctakes.dictionary.lookup2.concept.BsvConceptFactory
And
CustomPair
CustomCuiRareWord
CustomCuiConcept
Then make sure that you point to your custom cTakesHsql.xml in
dictionary-fast/desc/analysis_engine/UmlsLookupAnnotator.xml (or Overlap
depending upon your use):
DictionaryDescriptorFile
file:org/apache/ctakes/dictionary/lookup/fast/cTakesHsqlYourCopy.xml
You can also skip the UMLS dictionary altogether and just use your custom
dictionary.
If you do give this a try then let me know how it goes. If you need
additional assistance let me know and I will help the best I can.
Sean
-Original Message-
From: Raymond Li [mailto:ray...@bu.edu]
Sent: Saturday, February 21, 2015 1:26 PM
To: dev@ctakes.apache.org
Subject: Hello cTAKES Mailing List
Hello, my name is is Raymond Li and I am currently working on a team project
involving cTAKES. The goal of our project would be to use cTAKES to analyze
posts on social media (such as tweets, forum posts, public available data) in
order to catch in real-time any adverse effects of prescribed drugs and do a
public service of protecting people from harmful drugs.
Aside from this introduction, I do have only one question to ask to proceed
with this project: Is cTAKES capable of understanding slang words as symptoms.
An example is if I were to say "I took Crestor and feeling bad"
is there a way for cTAKES to recognize that Crestor had a negative effect?
My team has not been able to isolate 'bad' as a negative effect as it is not a
defined medical symptom, but it would be nice to figure out if such a solution
exists, or if we would need to develop our own solution and how we could go
around doing it.
My team and I would appreciate any comments or assistance regarding our project
and this current issue. Thank you and have a nice day!
--
Sincerely,
Raymond Li
