Pipeline to Resolve RxNorm Codes

Description

This pretrained pipeline maps entities with their corresponding RxNorm codes. You’ll just feed your text and it will return the corresponding RxNorm codes.

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How to use

from sparknlp.pretrained import PretrainedPipeline

resolver_pipeline = PretrainedPipeline("rxnorm_resolver_pipeline", "en", "clinical/models")

result = resolver_pipeline.fullAnnotate("""The patient was given Adapin 10 MG, coumadn 5 mg""")

import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline

val resolver_pipeline = new PretrainedPipeline("rxnorm_resolver_pipeline", "en", "clinical/models")

val result = resolver_pipeline.fullAnnotate("""The patient was given Adapin 10 MG, coumadn 5 mg""")

Results

+------------+---------+-----------+
|chunk       |ner_chunk|rxnorm_code|
+------------+---------+-----------+
|Adapin 10 MG|DRUG     |1000049    |
|coumadn 5 mg|DRUG     |200883     |
+------------+---------+-----------+

Model Information

Included Models

• DocumentAssembler
• SentenceDetector
• TokenizerModel
• WordEmbeddingsModel
• MedicalNerModel
• NerConverterInternalModel
• ChunkMapperModel
• ChunkMapperModel
• ChunkMapperFilterer
• Chunk2Doc
• BertSentenceEmbeddings
• SentenceEntityResolverModel
• ResolverMerger