A demo site for MedTagger.
Build a docker image
docker build -t medtagger_web:1.0 .
Run a container from the image
docker run -p 80:80 medtagger_web:1.0
Then, the web app can be accessed via web on localhost (i.e. 127.0.0.1).
MedTagger IE Pipelines use a custom ruleset format. An example ruleset of Coronavirus Diseases 19 (COVID 19) related symptoms (e.g. dry cough, fever, fatigue)
can be found under the ./covid19 directory. These resources are what tells MedTagger
what to do/extract, and this directory is expected as input for the RULEDIR parameter.
Liu H, Bielinski SJ, Sohn S, Murphy S, Wagholikar KB, Jonnalagadda SR, Ravikumar KE, Wu ST, Kullo IJ, Chute CG. An information extraction framework for cohort identification using electronic health records. AMIA Summits on Translational Science Proceedings. 2013;2013:149.
Wen A, Fu S, Moon S, El Wazir M, Rosenbaum A, Kaggal VC, Liu S, Sohn S, Liu H, Fan J. Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation. npj Digital Medicine. 2019 Dec 17;2(1):1-7.