Description
This model can deidentify CDA documents related to Patient XML paths
Predicted Entities
How to use
cda_xml = “"”YOUR_CDA_HERE”””
deid = CdaDeIdentification.pretrained(“cda_deidentification_patient”, “en”, “clinical/models”)
.setInputCol(“text”)
.setOutputCol(“deid”)
.setMode(“obfuscate”)
obfuscated = deid.deidentify(cda_xml)
cda_xml = """YOUR_CDA_HERE"""
deid = CdaDeIdentification.pretrained("cda_deidentification_patient", "en", "clinical/models")\
.setInputCol("text")\
.setOutputCol("deid")\
.setMode("obfuscate")
obfuscated = deid.deidentify(cda_xml)
val cda_xml = """YOUR_CDA_HERE"""
val deid = CdaDeIdentification.pretrained("cda_deidentification_patient")
.setInputCol("text")
.setOutputCol("deid")
.setMode("obfuscate")
val obfuscated = deid.deidentify(cda_xml)
Model Information
| Model Name: | cda_deidentification_patient |
| Compatibility: | Healthcare NLP 6.3.0+ |
| License: | Licensed |
| Edition: | Official |
| Output Labels: | [deid] |
| Language: | en |
| Size: | 16.3 KB |