Description
This pipeline can be used to de-identify PHI information from medical texts. The PHI information will be obfuscated in the resulting text.
Live Demo Open in Colab Copy S3 URI
How to use
from sparknlp.pretrained import PretrainedPipeline
sample = """Name : Hendrickson, Ora, Record date: 2093-01-13, # 719435.
Dr. John Green, ID: 1231511863, IP 203.120.223.13.
He is a 60-year-old male was admitted to the Day Hospital for cystectomy on 01/13/93.
Patient's VIN : 1HGBH41JXMN109286, SSN #333-44-6666, Driver's license no:A334455B.
Phone (302) 786-5227, 0295 Keats Street, San Francisco, E-MAIL: smith@gmail.com."""
model = PretrainedPipeline("clinical_deidentification", "en", "clinical/models")
result = deid_pipeline.annotate(sample)
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val sample = """Name : Hendrickson, Ora, Record date: 2093-01-13, # 719435.
Dr. John Green, ID: 1231511863, IP 203.120.223.13.
He is a 60-year-old male was admitted to the Day Hospital for cystectomy on 01/13/93.
Patient's VIN : 1HGBH41JXMN109286, SSN #333-44-6666, Driver's license no:A334455B.
Phone (302) 786-5227, 0295 Keats Street, San Francisco, E-MAIL: smith@gmail.com."""
val model = new PretrainedPipeline("clinical_deidentification", "en", "clinical/models")
val result = deid_pipeline.annotate(sample)
import nlu
nlu.load("en.de_identify.clinical_pipeline").predict("""Name : Hendrickson, Ora, Record date: 2093-01-13, # 719435.
Dr. John Green, ID: 1231511863, IP 203.120.223.13.
He is a 60-year-old male was admitted to the Day Hospital for cystectomy on 01/13/93.
Patient's VIN : 1HGBH41JXMN109286, SSN #333-44-6666, Driver's license no:A334455B.
Phone (302) 786-5227, 0295 Keats Street, San Francisco, E-MAIL: smith@gmail.com.""")
Model Information
| Name: | clinical_deidentification |
| Type: | PipelineModel |
| Compatibility: | Spark NLP 2.4.0+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |