Description
This pretrained pipeline is built on the top of ner_deid_subentity_augmented model.
Predicted Entities
MEDICALRECORD, ORGANIZATION, PROFESSION, HEALTHPLAN, DOCTOR, USERNAME, LOCATION-OTHER, URL, DEVICE, CITY, DATE, ZIP, STATE, PATIENT, COUNTRY, STREET, PHONE, HOSPITAL, EMAIL, IDNUM, BIOID, FAX, AGE
Live Demo Open in Colab Copy S3 URI
How to use
pipeline = PretrainedPipeline("ner_deid_subentity_augmented_pipeline", "en", "clinical/models")
pipeline.annotate("A. Record date : 2093-01-13, David Hale, M.D., Name : Hendrickson, Ora MR. # 7194334 Date : 01/13/93 PCP : Oliveira, 25-year-old, Record date : 1-11-2000. 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 pipeline = new PretrainedPipeline("ner_deid_subentity_augmented_pipeline", "en", "clinical/models")
pipeline.annotate("A. Record date : 2093-01-13, David Hale, M.D., Name : Hendrickson, Ora MR. # 7194334 Date : 01/13/93 PCP : Oliveira, 25-year-old, Record date : 1-11-2000. 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.")
import nlu
nlu.load("en.deid.subentity_ner_augmented.pipeline").predict("""A. Record date : 2093-01-13, David Hale, M.D., Name : Hendrickson, Ora MR. # 7194334 Date : 01/13/93 PCP : Oliveira, 25-year-old, Record date : 1-11-2000. 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
+-----------------------------+-------------+
|chunk |ner_label |
+-----------------------------+-------------+
|2093-01-13 |DATE |
|David Hale |DOCTOR |
|Hendrickson, Ora |PATIENT |
|7194334 |MEDICALRECORD|
|01/13/93 |DATE |
|Oliveira |DOCTOR |
|25-year-old |AGE |
|1-11-2000 |DATE |
|Cocke County Baptist Hospital|HOSPITAL |
|0295 Keats Street. |STREET |
|(302) 786-5227 |PHONE |
|Brothers Coal-Mine |ORGANIZATION |
+-----------------------------+-------------+
Model Information
| Model Name: | ner_deid_subentity_augmented_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