How to find sub-entities using ctakes

2015-10-01 Thread Yangrui Guo
Hi

I'm new to cTAKES. Right now I can use ctakes to extract entities such as 
disorders, findings, anatomy. However the data in UMLS are hierarchically 
structured. Is it possible to retrieve . For example when you parse "cancer" 
you will also get "leukemia" and "malignant tumor"?

Yangrui

Sent from my iPhone

Combining Knowledge- and Data-driven Methods for De-identification of Clinical Narratives

2015-10-01 Thread Pei Chen
Hi Azad,
This is awesome news.  Thanks for adding in the code that was
referenced by the paper.  I'll create a Jira to track we need to port
it over to UIMA/Ruta.

In the meantime, the link is at:
http://sourceforge.net/p/clinical-deid/code/ci/master/tree/ for those
who may be interested in helping out...

--Pei

Hello Pei,

I hope all is well.

I have now uploaded the source code for cDeid
(http://sourceforge.net/p/clinical-deid/code/ci/master/tree/) ; I have
tried to make the code as portable and modular as possible with some
trade-off for performance. This should help with porting the code to
cTAKES/UIMA.

Once you let the community know I will try to get involved to help
with translating JAPE to RUTA, etc.

Best,
Azad


RE: How to find sub-entities using ctakes

2015-10-01 Thread Finan, Sean
Hi Yangrui,

Great question.  Right now I don't think that anybody has made an engine for 
ctakes that will navigate and report using the full umls parent/child (or 
other) relation web.  I think that such a task might be better left to 
post-processing, and perhaps some industrious soul out there has made a tool 
that they can share ... ?

Sean

-Original Message-
From: Yangrui Guo [mailto:guoyang...@gmail.com] 
Sent: Thursday, October 01, 2015 2:44 AM
To: dev@ctakes.apache.org
Subject: How to find sub-entities using ctakes

Hi

I'm new to cTAKES. Right now I can use ctakes to extract entities such as 
disorders, findings, anatomy. However the data in UMLS are hierarchically 
structured. Is it possible to retrieve . For example when you parse "cancer" 
you will also get "leukemia" and "malignant tumor"?

Yangrui

Sent from my iPhone