deid

Type Members

1. class DeIdentification extends AnnotatorApproach[DeIdentificationModel] with DeIdentificationParams with Licensed

   

   Trains a DeIdentification Annotator which provides functionality to either mask or obfuscate PHI based on Input Annotations of types DOCUMENT, TOKEN and CHUNK.

   Trains a DeIdentification Annotator which provides functionality to either mask or obfuscate PHI based on Input Annotations of types DOCUMENT, TOKEN and CHUNK.

   Ideally this annotator works in conjunction with Demographic Named EntityRecognizers that can be trained either using TextMatchers, RegexMatchers, DateMatchers, NerCRFs or NerDLs

2. class DeIdentificationModel extends AnnotatorModel[DeIdentificationModel] with DeIdentificationParams with Licensed

   

   Contains all the parameters to transform a dataset with three Input Annotations of types DOCUMENT, TOKEN and CHUNK, into its DeIdentified version of by either masking or obfuscating the given CHUNKS

3. trait DeIdentificationParams extends Params

   

4. class ObfuscatorAnnotatorApproach extends AnnotatorApproach[ObfuscatorAnnotatorModel] with ObfuscatorParams

   

5. class ObfuscatorAnnotatorModel extends AnnotatorModel[ObfuscatorAnnotatorModel] with ObfuscatorParams

   

6. trait ObfuscatorParams extends Params

   

7. trait ReadablePretrainedDeId extends ParamsAndFeaturesReadable[DeIdentificationModel] with HasPretrained[DeIdentificationModel]

   

8. case class SentenceMaxException(message: String = "", cause: Throwable = None.orNull) extends Exception with Product with Serializable

   

9. case class StructuredDeid(conllFilePath: String, regexPatternsFilePath: String, obfuscateRefFilePath: String) extends Product with Serializable

   

10. case class StructuredDeidentification(columnsMap: Map[String, String], obfuscateRefFile: String = "", obfuscateRefSource: String = "both") extends Product with Serializable

    

11. case class TextToDocumentColumns(columns: List[String]) extends Product with Serializable