Description
This pipeline is designed to extract all entities mappable to UMLS CUI (Disease or Syndrome) codes.
How to use
from sparknlp.pretrained import PretrainedPipeline
ner_pipeline = PretrainedPipeline("ner_umls_disease_syndrome_pipeline", "en", "clinical/models")
result = ner_pipeline.annotate("""A 35-year-old male with a history of obesity, gestational diabetes mellitus, acyclovir allergy and polyuria.""")
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val ner_pipeline = PretrainedPipeline("ner_umls_disease_syndrome_pipeline", "en", "clinical/models")
val result = ner_pipeline.annotate("""A 35-year-old male with a history of obesity, gestational diabetes mellitus, acyclovir allergy and polyuria.""")
Results
| | chunks | begin | end | entities |
|---:|:------------------------------|--------:|------:|:-----------|
| 0 | obesity | 38 | 44 | PROBLEM |
| 1 | gestational diabetes mellitus | 47 | 75 | PROBLEM |
| 2 | acyclovir allergy | 78 | 94 | PROBLEM |
| 3 | polyuria | 100 | 107 | PROBLEM |
Model Information
| Model Name: | ner_umls_disease_syndrome_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
- MedicalNerModel
- NerConverter
- ChunkMergeModel