Hi Abhilash, Create a custom annotator for extracting non medical data and add
it to the cTAKES flow. This should do the work for you.
Thanks,
Satya
On 2017-12-21 14:56, wrote:
> Hi All,>
>
> Is there an option currently available with CTAKES for extracting patient
> name, age etc. from Me
By structured fields I mean non-note sources. Notes might be stored in
a database and other columns/tables in that database will contain
patient metadata, such as sex, birthdate, insurance status, etc.
Extracting this information is probably institution-specific. If you
don't have access to this ki
That makes sense.
What would be a good way to extract information about the “structured fields”
from the notes. Is there a specific module for it.
Thanks,
Nitesh
> On Dec 21, 2017, at 4:24 AM, Miller, Timothy
> wrote:
>
> No, there is not that I'm aware of. While that information is often
No, there is not that I'm aware of. While that information is often in
the note, it is also usually in structured fields where it can be
extracted with ~100% accuracy so it's not a high priority for NLP.
Thanks
Tim
On Thu, 2017-12-21 at 09:26 +, abilash.mat...@cognizant.com wrote:
> Hi All,
>
Hi All,
Is there an option currently available with CTAKES for extracting patient name,
age etc. from Medical records and lab reports?
Thanks,
Abilash Mathew
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