Description
This pretrained pipeline is built on the top of ner_radiology model.
Live Demo Open in Colab Copy S3 URI
How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("ner_radiology_pipeline", "en", "clinical/models")
pipeline.fullAnnotate("Breast ultrasound was subsequently performed, which demonstrated an ovoid mass measuring approximately 0.5 x 0.5 x 0.4 cm in diameter located within the left shoulder. This mass demonstrates isoechoic echotexture to the adjacent muscle, with no evidence of internal color flow. This may represent benign fibrous tissue or a lipoma.")
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val pipeline = new PretrainedPipeline("ner_radiology_pipeline", "en", "clinical/models")
pipeline.fullAnnotate("Breast ultrasound was subsequently performed, which demonstrated an ovoid mass measuring approximately 0.5 x 0.5 x 0.4 cm in diameter located within the left shoulder. This mass demonstrates isoechoic echotexture to the adjacent muscle, with no evidence of internal color flow. This may represent benign fibrous tissue or a lipoma.")
import nlu
nlu.load("en.med_ner.radiology.pipeline").predict("""Breast ultrasound was subsequently performed, which demonstrated an ovoid mass measuring approximately 0.5 x 0.5 x 0.4 cm in diameter located within the left shoulder. This mass demonstrates isoechoic echotexture to the adjacent muscle, with no evidence of internal color flow. This may represent benign fibrous tissue or a lipoma.""")
Results
+---------------------+-------------------------+
|chunk |ner_label |
+---------------------+-------------------------+
|Breast |BodyPart |
|ultrasound |ImagingTest |
|ovoid mass |ImagingFindings |
|0.5 x 0.5 x 0.4 |Measurements |
|cm |Units |
|left shoulder |BodyPart |
|mass |ImagingFindings |
|isoechoic echotexture|ImagingFindings |
|muscle |BodyPart |
|internal color flow |ImagingFindings |
|benign fibrous tissue|ImagingFindings |
|lipoma |Disease_Syndrome_Disorder|
+---------------------+-------------------------+
Model Information
| Model Name: | ner_radiology_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 3.4.1+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 1.7 GB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- WordEmbeddingsModel
- MedicalNerModel
- NerConverter