Description
This pretrained pipeline is built on the top of ner_deid_biobert model.
Predicted Entities
LOCATION, CONTACT, PROFESSION, NAME, DATE, ID, AGE
How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("ner_deid_biobert_pipeline", "en", "clinical/models")
text = '''A. Record date : 2093-01-13, David Hale, M.D. Name : Hendrickson, Ora MR. # 7194334. PCP : Oliveira, non-smoking. Cocke County Baptist Hospital. 0295 Keats Street. Phone +1 (302) 786-5227. Patient's complaints first surfaced when he started working for Brothers Coal-Mine.'''
result = pipeline.fullAnnotate(text)
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val pipeline = new PretrainedPipeline("ner_deid_biobert_pipeline", "en", "clinical/models")
val text = "A. Record date : 2093-01-13, David Hale, M.D. Name : Hendrickson, Ora MR. # 7194334. PCP : Oliveira, non-smoking. Cocke County Baptist Hospital. 0295 Keats Street. Phone +1 (302) 786-5227. Patient's complaints first surfaced when he started working for Brothers Coal-Mine."
val result = pipeline.fullAnnotate(text)
import nlu
nlu.load("en.deid.ner_biobert.pipeline").predict("""A. Record date : 2093-01-13, David Hale, M.D. Name : Hendrickson, Ora MR. # 7194334. PCP : Oliveira, non-smoking. Cocke County Baptist Hospital. 0295 Keats Street. Phone +1 (302) 786-5227. Patient's complaints first surfaced when he started working for Brothers Coal-Mine.""")
Results
| | ner_chunk | begin | end | ner_label | confidence |
|---:|:------------------------------|--------:|------:|:------------|-------------:|
| 0 | 2093-01-13 | 17 | 26 | DATE | 0.981 |
| 1 | David Hale | 29 | 38 | NAME | 0.77585 |
| 2 | Hendrickson | 53 | 63 | NAME | 0.9666 |
| 3 | Ora | 66 | 68 | LOCATION | 0.8723 |
| 4 | Oliveira | 91 | 98 | LOCATION | 0.7785 |
| 5 | Cocke County Baptist Hospital | 114 | 142 | LOCATION | 0.792 |
| 6 | Keats Street | 150 | 161 | LOCATION | 0.77305 |
| 7 | Phone | 164 | 168 | LOCATION | 0.7083 |
| 8 | Brothers | 253 | 260 | LOCATION | 0.9447 |
Model Information
| Model Name: | ner_deid_biobert_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 4.3.0+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 422.2 MB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- BertEmbeddings
- MedicalNerModel
- NerConverterInternalModel