CDA DeIdentification for Extend Xpaths

Description

This model can deidentify CDA documents related to extended XML paths

Predicted Entities

Copy S3 URI

How to use

cda_xml = “"”YOUR_CDA_HERE””” pipeline = PretrainedPipeline(“clinical_deidentification_docwise_benchmark_optimized”, “en”, “clinical/models”) deid = ( CdaDeIdentification.pretrained(“cda_deidentification_extend_free_text”, “en”, “clinical/models”) .setInputCol(“text”) .setOutputCol(“deid”) .setMode(“obfuscate”) .setPipeline(spark, pipeline, “obfuscated”) ) obfuscated = deid.deidentify(cda_xml)

cda_xml = """YOUR_CDA_HERE"""
pipeline = PretrainedPipeline("clinical_deidentification_docwise_benchmark_optimized", "en", "clinical/models")
deid = (
    CdaDeIdentification.pretrained("cda_deidentification_extend_free_text", "en", "clinical/models")
    .setInputCol("text")
    .setOutputCol("deid")
    .setMode("obfuscate")
    .setPipeline(spark, pipeline, "obfuscated")
)
obfuscated = deid.deidentify(cda_xml)
val pipeline = PretrainedPipeline("clinical_deidentification_docwise_benchmark_optimized", "en", "clinical/models")
val cda_xml = """YOUR_CDA_HERE"""
val deid = CdaDeIdentification.pretrained("cda_deidentification_patient")
  .setInputCol("text")
  .setOutputCol("deid")
  .setMode("obfuscate")
 .setPipeline(spark, pipeline, "obfuscated")

val obfuscated = deid.deidentify(cda_xml)

Model Information

Model Name: cda_deidentification_extend_free_text
Compatibility: Healthcare NLP 6.4.0+
License: Licensed
Edition: Official
Output Labels: [deid]
Language: en
Size: 28.3 KB