Description
This model can deidentify CDA documents related to extended XML paths
Predicted Entities
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 |