RxNorm to MeSH Code Mapping

Description

This pretrained pipeline maps RxNorm codes to MeSH codes without using any text data. You’ll just feed white space-delimited RxNorm codes and it will return the corresponding MeSH codes as a list. If there is no mapping, the original code is returned with no mapping.

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How to use

from sparknlp.pretrained import PretrainedPipeline 
pipeline = PretrainedPipeline("rxnorm_mesh_mapping","en","clinical/models")
pipeline.annotate("1191 6809 47613")
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val pipeline = new PretrainedPipeline("rxnorm_mesh_mapping","en","clinical/models")
val result = pipeline.annotate("1191 6809 47613")

Results

{'rxnorm': ['1191', '6809', '47613'],
'mesh': ['D001241', 'D008687', 'D019355']}


Note: 

| RxNorm     | Details             | 
| ---------- | -------------------:|
| 1191       |  aspirin            |
| 6809       | metformin           |
| 47613      | calcium citrate     |

| MeSH       | Details             |
| ---------- | -------------------:|
| D001241    | Aspirin             |
| D008687    | Metformin           |
| D019355    | Calcium Citrate     |

Model Information

Model Name: rxnorm_mesh_mapping
Type: pipeline
Compatibility: Spark NLP for Healthcare 3.0.2+
License: Licensed
Edition: Official
Language: en

Included Models

  • DocumentAssembler
  • TokenizerModel
  • LemmatizerModel
  • Finisher