Description
How to use
model = PretrainedPipeline("clinical_analysis","en","clinical/models")
val model = PipelineModel.pretrained("clinical_analysis","en","clinical/models")
Model Information
| Name: | clinical_analysis | 
| Type: | PipelineModel | 
| Compatibility: | Spark NLP 2.4.0+ | 
| License: | Licensed | 
| Edition: | Official | 
| Language: | en | 
Data Source
PREVIOUSClinical Ner Assertion
NEXTDetect Diseases