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