Description
This pretrained pipeline maps SNOMED codes to their corresponding ICD-10, ICD-O, and UMLS codes.
Predicted Entities
snomed_code
How to use
from sparknlp.pretrained import PretrainedPipeline
mapper_pipeline = PretrainedPipeline("snomed_multi_mapper_pipeline", "en", "clinical/models")
result = mapper_pipeline.fullAnnotate(["10000006", "128501000"])
mapper_pipeline = nlp.PretrainedPipeline("snomed_multi_mapper_pipeline", "en", "clinical/models")
result = mapper_pipeline.fullAnnotate(["10000006", "128501000"])
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val mapper_pipeline = PretrainedPipeline("snomed_multi_mapper_pipeline", "en", "clinical/models")
val result = mapper_pipeline.fullAnnotate(["10000006", "128501000"])
Results
+-----------+------------+---------+---------+
|snomed_code|icd10cm_code|icdo_code|umls_code|
+-----------+------------+---------+---------+
| 10000006| R07.9| NONE| C0232289|
| 128501000| NONE| C49.5| C0448606|
+-----------+------------+---------+---------+
Model Information
| Model Name: | snomed_multi_mapper_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 5.5.1+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 9.4 MB |
Included Models
- DocumentAssembler
- DocMapperModel
- DocMapperModel
- DocMapperModel