How can I un-subscribe from this? Any help would be kindly appreciated. 

- Ravi

> On Jul 17, 2019, at 12:53 PM, gandhi rajan <[email protected]> wrote:
> 
> Thanks for the insight Sean.
> 
> On Wednesday, July 17, 2019, Finan, Sean <[email protected]>
> wrote:
> 
>> Hi All,
>> 
>> ctakes-scrubber is not in any ctakes release and it is not in the main
>> repository.  It never went beyond experimental and resides within the
>> ctakes sandbox.  https://svn.apache.org/repos/asf/ctakes/sandbox/
>> 
>> From what I recall, scrubber does not have "real" name replacement, but
>> instead de-identifies entities by removing them and inserting a tag
>> indicating the type of entity.  For instance:  "John has a rash" ->
>> "[person] has a rash".   That is not verbatim, but it is the general idea.
>> 
>> If you can get ctakes-scrubber working in your project then it would be
>> pretty easy to create an engine that does nothing except replace such
>> generic tags with random names, dates, institutions, etc.
>> 
>> Sean
>> ________________________________________
>> From: gandhi rajan <[email protected]>
>> Sent: Wednesday, July 17, 2019 12:26 PM
>> To: [email protected]
>> Subject: Re: Synthetic replacement feature in cTAKES Scrubber [EXTERNAL]
>> 
>> Hi Masoud, we had a similar requirement to identify patient names in the
>> narratives text and I had a discussion with Sean Finan on patient name
>> identification feature in cTAKES. What he told at that point in time was
>> cTAKES dint supported patient name identification feature. Also as far as I
>> know, I m not really sure whether scrubber made it to the cTAKES codebase.
>> 
>> Sean, Please correct me if I m wrong.
>> 
>> On Wednesday, July 17, 2019, Masoud Rouhizadeh <[email protected]> wrote:
>> 
>>> Dear cTAKES developer,
>>> This is Masoud Rouhizadeh from JHU. I'm leading the NLP effort at the
>>> Institute for Clinical and Translational Research and work on
>>> enterprise-level NLP projects at Johns Hopkins Medicine. One of the major
>>> goals we are targeting is de-identification of a large number of notes
>>> (350M) to prepare them for search and indexing (Elasticsearch and Solr).
>> I
>>> have been in touch with Dr. Guergana Savova about cTAKES Scrubber and she
>>> has been very helpful.
>>> 
>>> One of our most desired features in the de-identification pipeline is
>>> synthetic replacement (e.g. Nancy->Sally; random female first name
>>> consistently replaces a female first name.). I wasn't able to find
>>> information about this feature in cTAKES Scrubber. Is synthetic
>> replacement
>>> functionality part of the cTAKES Scrubber, or can it be added by
>>> post-processing the output? For instance, if we know the name Nancy is
>>> removed from multiple places, can we use a name dictionary to insert
>> random
>>> female first names in those places (just a thought)?
>>> Overall, I wanted to emphasize that cTAKES Scrubber is one of our main
>>> candidates and I'm hoping that we could find ways to collaborate.
>>> 
>>> Thank you very much,
>>> Masoud
>>> 
>>> ----
>>> Masoud Rouhizadeh, PhD
>>> Faculty - Division of Health Science Informatics (DHSI)
>>> NLP Lead - Institute for Clinical and Translational Research (ICTR)
>>> Johns Hopkins University School of Medicine
>>> https://urldefense.proofpoint.com/v2/url?u=https-3A__www.cs.
>> jhu.edu_-7Emrou_&d=DwIBaQ&c=qS4goWBT7poplM69zy_3xhKwEW14JZMSdioCoppxeFU&r=
>> fs67GvlGZstTpyIisCYNYmQCP6r0bcpKGd4f7d4gTao&m=
>> aIXsCuGWJqYNNtMb1ZfvZ0gAiw57gtrpZGqLVZjn5o4&s=9mLpsY5OPs7_
>> sAMhA60kB0PJcsttBBK6BYRN_xThZSo&e=
>>> 
>>> 
>> 
>> --
>> Regards,
>> Gandhi
>> 
>> "The best way to find urself is to lose urself in the service of others
>> !!!"
>> 
> 
> 
> -- 
> Regards,
> Gandhi
> 
> "The best way to find urself is to lose urself in the service of others !!!"

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