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 <m...@jhu.edu> 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://www.cs.jhu.edu/~mrou/ > > -- Regards, Gandhi "The best way to find urself is to lose urself in the service of others !!!"
