Description
This pretrained pipeline maps extracted entities in the German language to ICD-10-GM codes. You’ll just feed clinical terms and it will return the corresponding ICD-10-GM codes.
How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("icd10gm_resolver_pipeline", "de", "clinical/models")
result = pipeline.fullAnnotate("Dyspnoe")
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val pipeline = new PretrainedPipeline("icd10gm_resolver_pipeline", "de", "clinical/models")
val result = pipeline.fullAnnotate("Dyspnoe")
Results
| | chunks | code | resolutions | all_codes | all_distances |
|---:|:--------|:--------|:----------------------------------------------------------------------:|------------------------------------------------:|:----------------------------------------------------------|
| 0 | Dyspnoe | R06.0 |Dyspnoe:::Dysphagie:::Dysurie:::Dyspareunie:::Dysthymia:::Dystonie:::...| R06.0:::R13:::R30.0:::N94.1:::F34.1:::G24:::... | 0.0000:::1.0966:::1.1766:::1.2127:::1.2228:::1.3126:::... |
Model Information
| Model Name: | icd10gm_resolver_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 4.4.4+ |
| License: | Licensed |
| Edition: | Official |
| Language: | de |
| Size: | 1.1 GB |
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaEmbeddings
- SentenceEmbeddings
- SentenceEntityResolverModel