ChunkResolver Cpt Clinical

Description

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

Predicted Entities

chunkresolve_cpt_clinical Codes and their normalized definition

Download

How to use

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

Model Information

Name: chunkresolve_cpt_clinical  
Type: ChunkEntityResolverModel  
Compatibility: Spark NLP 2.4.2+  
License: Licensed  
Edition: Official  
Input labels: token, chunk_embeddings  
Output labels: entity  
Language: en  
Case sensitive: True  
Dependencies: embeddings_clinical  

Data Source

Trained on Current Procedural Terminology dataset.