Description
This pretrained pipeline maps entities (Clinical Drugs) with their corresponding UMLS CUI codes. You’ll just feed your text and it will return the corresponding UMLS codes.
Open in Colab Copy S3 URICopied!
Available as Private API Endpoint
How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline= PretrainedPipeline("umls_drug_resolver_pipeline", "en", "clinical/models")
pipeline.annotate("The patient was given Adapin 10 MG, coumadn 5 mg")
Results
+------------+---------+---------+
|chunk |ner_label|umls_code|
+------------+---------+---------+
|Adapin 10 MG|DRUG |C2930083 |
|coumadn 5 mg|DRUG |C2723075 |
+------------+---------+---------+
Model Information
| Model Name: | umls_drug_resolver_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 4.0.0+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 4.6 GB |
Included Models
- DocumentAssembler
- SentenceDetector
- TokenizerModel
- WordEmbeddingsModel
- MedicalNerModel
- NerConverter
- ChunkMapperModel
- ChunkMapperModel
- ChunkMapperFilterer
- Chunk2Doc
- BertSentenceEmbeddings
- SentenceEntityResolverModel
- ResolverMerger