Description
This pretrained pipeline is built on the top of ner_clinical_bert model.
How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("ner_clinical_bert_pipeline", "ro", "clinical/models")
text = '''Solicitare: Angio CT cardio-toracic Dg. de trimitere Atrezie de valva pulmonara. Hipoplazie VS. Atrezie VAV stang. Anastomoza Glenn. Sp. Tromboza la nivelul anastomozei. Trimis de: Sectia Clinica Cardiologie (dr. Sue T.) Procedura Aparat GE Revolution HD. Branula albastra montata la nivelul membrului superior drept. Scout. Se administreaza 30 ml Iomeron 350 cu flux 2.2 ml/s, urmate de 20 ml ser fiziologic cu acelasi flux. Se efectueaza o examinare angio-CT cardiotoracica cu achizitii secventiale prospective la o frecventa cardiaca medie de 100/min.'''
result = pipeline.fullAnnotate(text)
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val pipeline = new PretrainedPipeline("ner_clinical_bert_pipeline", "ro", "clinical/models")
val text = "Solicitare: Angio CT cardio-toracic Dg. de trimitere Atrezie de valva pulmonara. Hipoplazie VS. Atrezie VAV stang. Anastomoza Glenn. Sp. Tromboza la nivelul anastomozei. Trimis de: Sectia Clinica Cardiologie (dr. Sue T.) Procedura Aparat GE Revolution HD. Branula albastra montata la nivelul membrului superior drept. Scout. Se administreaza 30 ml Iomeron 350 cu flux 2.2 ml/s, urmate de 20 ml ser fiziologic cu acelasi flux. Se efectueaza o examinare angio-CT cardiotoracica cu achizitii secventiale prospective la o frecventa cardiaca medie de 100/min."
val result = pipeline.fullAnnotate(text)
Results
| | ner_chunks | begin | end | ner_label | confidence |
|---:|:----------------------------------|--------:|------:|:--------------------------|-------------:|
| 0 | Angio CT | 12 | 19 | Imaging_Test | 0.96415 |
| 1 | cardio-toracic | 21 | 34 | Body_Part | 0.4776 |
| 2 | Atrezie | 53 | 59 | Disease_Syndrome_Disorder | 0.9602 |
| 3 | valva pulmonara | 64 | 78 | Body_Part | 0.73105 |
| 4 | Hipoplazie | 81 | 90 | Disease_Syndrome_Disorder | 0.628 |
| 5 | VS | 92 | 93 | Body_Part | 0.9543 |
| 6 | Atrezie | 96 | 102 | Disease_Syndrome_Disorder | 0.8763 |
| 7 | VAV stang | 104 | 112 | Body_Part | 0.9444 |
| 8 | Anastomoza Glenn | 115 | 130 | Disease_Syndrome_Disorder | 0.8648 |
| 9 | Tromboza | 137 | 144 | Disease_Syndrome_Disorder | 0.991 |
| 10 | GE Revolution HD | 238 | 253 | Medical_Device | 0.668367 |
| 11 | Branula albastra | 256 | 271 | Medical_Device | 0.9179 |
| 12 | membrului superior | 292 | 309 | Body_Part | 0.98815 |
| 13 | drept | 311 | 315 | Direction | 0.5645 |
| 14 | Scout | 318 | 322 | Body_Part | 0.3484 |
| 15 | 30 ml | 342 | 346 | Dosage | 0.9996 |
| 16 | Iomeron 350 | 348 | 358 | Drug_Ingredient | 0.9822 |
| 17 | 2.2 ml/s | 368 | 375 | Dosage | 0.9327 |
| 18 | 20 ml | 388 | 392 | Dosage | 0.9977 |
| 19 | ser fiziologic | 394 | 407 | Drug_Ingredient | 0.9609 |
| 20 | angio-CT | 452 | 459 | Imaging_Test | 0.9965 |
| 21 | cardiotoracica | 461 | 474 | Body_Part | 0.9344 |
| 22 | achizitii secventiale prospective | 479 | 511 | Imaging_Technique | 0.966833 |
| 23 | 100/min | 546 | 552 | Pulse | 0.9128 |
Model Information
| Model Name: | ner_clinical_bert_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 4.3.0+ |
| License: | Licensed |
| Edition: | Official |
| Language: | ro |
| Size: | 483.6 MB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- BertEmbeddings
- MedicalNerModel
- NerConverterInternalModel