Description
This pipeline is designed to extract all entities mappable to CPT codes.
2 NER models are used to achieve those tasks.
How to use
from sparknlp.pretrained import PretrainedPipeline
ner_pipeline = PretrainedPipeline("ner_cpt_pipeline", "en", "clinical/models")
result = ner_pipeline.annotate("""
She was admitted to the hospital with chest pain and found to have bilateral pleural effusion, the right greater than the left. CT scan of the chest also revealed a large mediastinal lymph node.
We reviewed the pathology obtained from the pericardectomy in March 2006, which was diagnostic of mesothelioma.
At this time, chest tube placement for drainage of the fluid occurred and thoracoscopy, which were performed, which revealed epithelioid malignant mesothelioma.
""")
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val ner_pipeline = PretrainedPipeline("ner_cpt_pipeline", "en", "clinical/models")
val result = ner_pipeline.annotate("""
She was admitted to the hospital with chest pain and found to have bilateral pleural effusion, the right greater than the left. CT scan of the chest also revealed a large mediastinal lymph node.
We reviewed the pathology obtained from the pericardectomy in March 2006, which was diagnostic of mesothelioma.
At this time, chest tube placement for drainage of the fluid occurred and thoracoscopy, which were performed, which revealed epithelioid malignant mesothelioma.
""")
Results
| | chunks | begin | end | entities |
|---:|:---------------------|--------:|------:|:-----------|
| 0 | pericardectomy | 240 | 253 | Procedure |
| 1 | chest tube placement | 322 | 341 | Procedure |
| 2 | thoracoscopy | 382 | 393 | Procedure |
Model Information
| Model Name: | ner_cpt_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 6.0.2+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 1.7 GB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- WordEmbeddingsModel
- MedicalNerModel
- NerConverterInternalModel
- MedicalNerModel
- NerConverterInternalModel
- ChunkMergeModel