Description
This pretrained pipeline maps RXNORM codes to NDC codes without using any text data. You’ll just feed white space-delimited RXNORM codes and it will return the corresponding two different types of ndc codes which are called package ndc and product ndc.
Predicted Entities
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How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("rxnorm_ndc_mapping", "en", "clinical/models")
result = pipeline.fullAnnotate(1652674 259934)
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val pipeline = new PretrainedPipeline("rxnorm_ndc_mapping", "en", "clinical/models")
val result = pipeline.fullAnnotate(1652674 259934)
import nlu
nlu.load("en.map_entity.rxnorm_to_ndc.pipe").predict("""Put your text here.""")
Results
{'document': ['1652674 259934'],
'package_ndc': ['62135-0625-60', '13349-0010-39'],
'product_ndc': ['46708-0499', '13349-0010'],
'rxnorm_code': ['1652674', '259934']}
Model Information
| Model Name: | rxnorm_ndc_mapping |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 4.3.2+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 4.0 MB |
Included Models
- DocumentAssembler
- TokenizerModel
- ChunkMapperModel
- ChunkMapperModel