Lacey
Research Analyst
SAIL Databank
Swansea Neuroscience Research Group
01792 602023
a.s.la...@swansea.ac.uk
From: Azad Dehghan
Sent: 23 Oct 2016 08:25
To: dev@ctakes.apache.org
Subject: Re: Post co-ordinated SNOMED-CT with
AggregatePlaintextFastUMLSProcessor
Arro
Arron,
I would likewise follow peter's approach but the more flexible and
recommended approach would be to use RUTA rule-based language:
https://uima.apache.org/ruta.html
Best wishes,
Azad
On 21 Oct 2016 21:18, "Abramowitsch, Peter"
wrote:
>
> While it is doable, it will need some non trivial p
While it is doable, it will need some non trivial post processing. The
approach I suggest below is just an example, there are many ways to
achieve this, but there is no silver bullet.
To do something like that I suggest incorporating a TokensRegex analysis
engine in your pipeline. I have had a lo
Hi Arron,
Ctakes discovers text words and phrases by lookup using a subset of the UMLS
https://uts.nlm.nih.gov/home.htmlctakes 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
