Description
This pipeline is designed to extract all entities mappable to UMLS CUI (Drug & Substance) codes.
How to use
from sparknlp.pretrained import PretrainedPipeline
ner_pipeline = PretrainedPipeline("ner_umls_drug_substance_pipeline", "en", "clinical/models")
result = ner_pipeline.annotate("""The patient was given metformin, lenvatinib and Magnesium hydroxide 100mg/1ml.""")
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val ner_pipeline = PretrainedPipeline("ner_umls_drug_substance_pipeline", "en", "clinical/models")
val result = ner_pipeline.annotate("""The patient was given metformin, lenvatinib and Magnesium hydroxide 100mg/1ml.""")
Results
| | chunks | begin | end | entities |
|---:|:------------------------------|--------:|------:|:-----------|
| 0 | metformin | 24 | 32 | DRUG |
| 1 | lenvatinib | 35 | 44 | DRUG |
| 2 | Magnesium hydroxide 100mg/1ml | 50 | 78 | DRUG |
Model Information
| Model Name: | ner_umls_drug_substance_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 6.0.2+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 1.7 GB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- WordEmbeddingsModel
- MedicalNerModel
- NerConverter
- TextMatcherInternalModel
- ChunkMergeModel