Assertion DL Healthcare Embeddings

Description

Assertion of Clinical Entities based on Deep Learning.

Predicted Entities

hypothetical, present, absent, possible, conditional, associated_with_someone_else

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How to use

model = AssertionDLModel.pretrained("assertion_dl_healthcare","en","clinical/models")\
	.setInputCols("document","chunk","word_embeddings")\
	.setOutputCol("assertion")
val model = AssertionDLModel.pretrained("assertion_dl_healthcare","en","clinical/models")
	.setInputCols("document","chunk","word_embeddings")
	.setOutputCol("assertion")

Model Information

Name: assertion_dl_healthcare  
Type: AssertionDLModel  
Compatibility: 2.6.0  
License: Licensed  
Edition: Official  
Input labels: [document, chunk, word_embeddings]  
Output labels: [assertion]  
Language: en  
Case sensitive: False  
Dependencies: embeddings_healthcare_100d  

Data Source

Trained on 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text with embeddings_clinical https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/