ChunkResolver Rxnorm Cd Clinical

Description

Entity Resolution model Based on KNN using Word Embeddings + Word Movers Distance.

Predicted Entities

RxNorm Codes and their normalized definition with clinical_embeddings.

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How to use

model = ChunkEntityResolverModel.pretrained("chunkresolve_rxnorm_cd_clinical","en","clinical/models")
	.setInputCols("token","chunk_embeddings")
	.setOutputCol("entity")
val model = ChunkEntityResolverModel.pretrained("chunkresolve_rxnorm_cd_clinical","en","clinical/models")
	.setInputCols("token","chunk_embeddings")
	.setOutputCol("entity")

Model Information

Name: chunkresolve_rxnorm_cd_clinical  
Type: ChunkEntityResolverModel  
Compatibility: Spark NLP 2.5.1+  
License: Licensed  
Edition: Official  
Input labels: [token, chunk_embeddings]  
Output labels: [entity]  
Language: en  
Case sensitive: True  
Dependencies: embeddings_clinical  

Data Source

Trained on December 2019 RxNorm Clinical Drugs (TTY=CD) ontology graph with embeddings_clinical https://www.nlm.nih.gov/pubs/techbull/nd19/brief/nd19_rxnorm_december_2019_release.html