beapen/cui2sim repository overview

Word embedding is unsupervised learning of word relationships used in natural language processing. Recently, researchers applied the same concept in the clinical domain using a vast collection of multimodal medical data and made it available to the research community as Cui2Vec.⁠

This container is built using OpenFaaS⁠ for deploying concept similarity search services based on Cui2Vec. Use faas-cli deploy

You can run locally as:

docker run -p 8080:8080 beapen/cui2sim

and send a request from another terminal as:

curl --header "Content-Type: application/json" \
  --request POST \
  --data '{"cui": "C0000052","topn": "2"}' \
  http://localhost:8080/