Description
This pretrained model maps National Drug Codes (NDC) with their corresponding HCPCS codes and their descriptions.
Important Note: Mappers extract additional information such as extended descriptions and categories related to Concept codes (such as RxNorm, ICD10, CPT, MESH, NDC, UMLS, etc.). They generally take Concept Codes, which are the outputs of EntityResolvers, as input. When creating a pipeline that contains ‘Mapper’, it is necessary to use the ChunkMapperModel after an EntityResolverModel.
Predicted Entities
hcpcs_code, hcpcs_description
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How to use
document_assembler = DocumentAssembler()\
.setInputCol("text")\
.setOutputCol("ndc_chunk")
chunkerMapper = DocMapperModel.pretrained("ndc_hcpcs_mapper", "en", "clinical/models")\
.setInputCols(["ndc_chunk"])\
.setOutputCol("hcpcs")\
.setRels(["hcpcs_code", "hcpcs_description"])
pipeline = Pipeline().setStages([document_assembler,
chunkerMapper])
model = pipeline.fit(spark.createDataFrame([['']]).toDF('text'))
lp = LightPipeline(model)
res = lp.fullAnnotate(["16714-0892-01", "00990-6138-03", "43598-0650-11"])
val document_assembler = new DocumentAssembler()
.setInputCol("text")\
.setOutputCol("ndc_chunk")
val chunkerMapper = DocMapperModel
.pretrained("ndc_hcpcs_mapper", "en", "clinical/models")
.setInputCols(Array("ndc_chunk"))
.setOutputCol("mappings")
.setRels(Array("hcpcs_code", "hcpcs_description"))
val mapper_pipeline = new Pipeline().setStages(Array(
document_assembler,
chunkerMapper))
val data = Seq(Array("16714-0892-01", "00990-6138-03", "43598-0650-11")).toDS.toDF("text")
val result = pipeline.fit(data).transform(data)
Results
+-------------+----------------------------+-----------------+
|ndc_chunk |mappings |relation |
+-------------+----------------------------+-----------------+
|16714-0892-01|J0878 |hcpcs_code |
|16714-0892-01|INJECTION, DAPTOMYCIN, 1 MG |hcpcs_description|
|00990-6138-03|A4217 |hcpcs_code |
|00990-6138-03|STERILE WATER/SALINE, 500 ML|hcpcs_description|
|43598-0650-11|J9340 |hcpcs_code |
|43598-0650-11|INJECTION, THIOTEPA, 15 MG |hcpcs_description|
+-------------+----------------------------+-----------------+
Model Information
| Model Name: | ndc_hcpcs_mapper |
| Compatibility: | Healthcare NLP 4.4.0+ |
| License: | Licensed |
| Edition: | Official |
| Input Labels: | [ner_chunk] |
| Output Labels: | [mappings] |
| Language: | en |
| Size: | 203.1 KB |