List of integers specifying limits of the age groups to preserve during obfuscation

A Boolean variable indicating whether to obfuscate ages based on HIPAA (Health Insurance Portability and Accountability Act) Privacy Rule.

The HIPAA Privacy Rule mandates that ages from patients older than 90 years must be obfuscated, while age for patients 90 years or younger can remain unchanged.

When true, age entities larger than 90 will be obfuscated as per HIPAA Privacy Rule, the others will remain unchanged. When false, ageRanges parameter is valid.

This method represents the pipeline method which calls each method one by one It utilizes the main point of interest which is getAnonymizeSentence() and calls it for each sentence

List of entities that will be ignored in the regex file. The rest will be processed. The default values are "IBAN","ZIP","NPI","URL","DLN","PASSPORT","EMAIL","C_CARD","DEA","SSN"

Whether to replace very similar entities in a document with the same randomized term (default: true) The similarity is based on the Levenshtein Distance between the words.

The method that takes anonymized sentence to create proper Annotation

Format of dates to displace

Tag representing what are the NER entity (default: DATE)

true if dates must be converted to years, false otherwise

Number of days to obfuscate the dates by displacement. If not provided a random integer between 1 and 60 will be used

If true, exceptions are handled. If exception causing data is passed to the model, a error annotation is emitted which has the exception message. Processing continues with the next one. This comes with a performance penalty.

Dictionary with entity casing modes that match some entities 'lowercase': Converts all characters to lower case using the rules of the default locale. 'uppercase': Converts all characters to upper case using the rules of the default locale. 'capitalize': Converts the first character to upper case and converts others to lower case. 'titlecase': Converts the first character in every token to upper case and converts others to lower case.

Select the fixed mask length: this is the length of the masking sequence that will be used when the 'fixed_length_chars' masking policy is selected.

Whether to use gender-aware names or not during obfuscation. This param effects only names. If value is true, it might decrease performance. Default: False

obfuscating digits to new digits, letters to new letters and others remains the same

Main point of interest. This method projects the sentence into the anonymized form This method is called for each sentence in the input collection of Annotations

Gets metadataMaskingPolicy param

Returns the NER Annotations for each Annotation instance in the input Sequence

Returns the Regex Annotations for each IndexedToken in the input Sequence

Returns the content of each sentence inside the input sequence

Returns the tokens for each Annotation instance in the input Sequence

Getter method of useShiftDays

Gets valid ageRanges whether ageRangesByHipaa is true or not.

Returns a complement of A entities against B entities

Select if you want to use regex file loaded in the model. If true the default regex file will be not used The default value is false.

Input annotator type: DOCUMENT, TOKEN, CHUNK

Use a random displacement days in dates entities,that random number is based on the DeIdentificationParams.seed If true use random displacement days in dates entities,if false use the DeIdentificationParams.days The default value is false.

Returns Boolean flag, which says if the token matches at least one pattern from array

The language used to select the regex file and some faker entities. 'en'(English),'de'(German), 'es'(Spanish), 'fr'(French), 'ar'(Arabic) or 'ro'(Romanian) Default:'en'

This is the mapping column that will return the Annotations chunks with the fake entities

Select the masking policy:

• 'entity_labels': Replace the values with the entity value.
• 'same_length_chars': Replace the name with the asterix with same length minus two plus brackets on both end.If the entity is less than 3 chars (like Jo, or 5), we can just use asterix without brackets.
• 'fixed_length_chars': Replace the obfuscated entity with a masking sequence composed of a fixed number of asterisk.
• Default: 'entity_labels'

Returns a combined Sequence of Annotations, cleaned from duplicates

If specified, the metadata includes the masked form of the document. Select the following masking policy if you want to return mask form in the metadata:

• 'entity_labels': Replace the values with the entity value.
• 'same_length_chars': Replace the name with the asterix with same length minus two plus brackets on both end.If the entity is less than 3 chars (like Jo, or 5), we can just use asterix without brackets.
• 'fixed_length_chars': Replace the obfuscated entity with a masking sequence composed of a fixed number of asterisk.
• Default: ""

Minimum year to use when converting date to year

Mode for Anonymizer ['mask'|'obfuscate']. Default: 'mask'

• Mask mode: The entities will be replaced by their entity types.
• Obfuscate mode: The entity is replaced by an obfuscator's term.

When mode=="obfuscate" whether to obfuscate dates or not. This param helps in consistency to make dateFormats more visible. When setting to true, make sure dateFormats param fits the needs. If the value is true and obfuscation is failed, then DeIdentificationParams.unnormalizedDateMode will be activated. When setting to 'false', then the date will be masked to <DATE> Default: false

The source of obfuscation to obfuscate the entities. The values ar the following: 'file': Takes the entities from the obfuscatorRefFile 'faker': Takes the entities from the Faker module 'both': Takes the entities from the obfuscatorRefFile and the faker module randomly.

The obfuscation strategy to be applied when an exception occurs.

The obfuscation strategy determines how obfuscation is handled in case of an exception. Four possible values are supported:

• "mask": The original chunk is replaced with a masking pattern.
• "default": The original chunk is replaced with a default faker.
• "skip": The original chunk is not replaced with any faker.
• "exception": Throws the exception.

The default obfuscation strategy is "default".

Output annotator types: DOCUMENT

Whether to return all sentences joined into a single document

If the value is true, prioritize the regex entities; if the value is false, prioritize the ner. The default value is false. If DeIdentification.combineRegexPatterns is true, this value will be invalid.

With this property, you can select particular dateFormats. This property is especially used when obfuscating dates. You can decide whether the first part of 11/11/2023 is a day or the second part is a day when obfuscating dates. The values are following: 'eu' for European Union 'us' for USA Default: 'eu'

This is simple RegEx replace which removes some punctuation tokens from input

With this property, you can select if you want to return mapping column.

A protected method designed to safely annotate a sequence of Annotation objects by handling exceptions.

Similarity threshold [0.0-1.0] to consider two appearances of an entity as the same (default: 0.9) For date entities this method doesn't apply.

List of formatted entities to generate the same length outputs as original ones during obfuscation. The supported and default formatted entities are: "phone", "fax", "id", "idnum", "bioid", "medicalrecord", "zip", "vin", "ssn", "dln", "plate", "license", "IRS", "CFN".

It is the seed to select the entities on obfuscate mode. With the seed, you can reply to an execution several times with the same output.

dictionary of modes to enable multi-mode deidentification. 'obfuscate': Replace the values with random values. 'mask_same_length_chars': Replace the name with the asterix with same length minus two plus brackets on both end. 'entity_labels': Replace the values with the entity value. 'mask_fixed_length_chars': Replace the name with the asterix with fixed length. You should also invoke "setFixedMaskLength()" 'skip': Skip the entities (intact) The entities which have not been given in dictionary will deidentify according to setMode()

List of integers specifying limits of the age groups to preserve during obfuscation

Sets whether to obfuscate ages based on HIPAA (Health Insurance Portability and Accountability Act) Privacy Rule.

The HIPAA Privacy Rule mandates that ages from patients older than 90 years must be obfuscated, while age for patients 90 years or younger can remain unchanged.

List of entities that will be ignored to in the regex file. The rest will be processed. The default values are "IBAN","ZIP","NPI","URL","DLN","PASSPORT","EMAIL","C_CARD","DEA","SSN"

Whether to replace very similar entities in a document with the same randomized term (default: true) The similarity is based on the Levenshtein Distance between the words.

Format of dates to displace

Tag representing what are the NER entity (default: DATE)

true if dates must be converted to years, false otherwise

Number of days to obfuscate the dates by displacement. If not provided a random integer between 1 and 60 will be used

If true, exceptions are handled. If exception causing data is passed to the model, a error annotation is emitted which has the exception message. Processing continues with the next one. This comes with a performance penalty.

Set dictionary with entity casing modes that match some entities. 'lowercase': Converts all characters to lower case using the rules of the default locale. 'uppercase': Converts all characters to upper case using the rules of the default locale. 'capitalize': Converts the first character to upper case and converts others to lower case. 'titlecase': Converts the first character in every token to upper case and converts others to lower case.

fixed mask length: this is the length of the masking sequence that will be used when the 'fixed_length_chars' masking policy is selected.

Whether to use gender-aware names or not during obfuscation. This param effects only names. If value is true, it might decrease performance. Default: False

Select if you want to use regex file loaded in the model. If true the default regex file will be not used The default value is false.

Use a random displacement days in dates entities,that random number is based on the DeIdentificationParams.seed If true use random displacement days in dates entities, if false use the DeIdentificationParams.days The default value is false.

The language used to select the regex file and some faker entities. 'en'(English),'de'(German), 'es'(Spanish), 'fr'(French), 'ar'(Arabic) or 'ro'(Romanian). Default:'en'

This is the mapping column that will return the Annotations chunks with the fake entities

Select the masking policy:

• 'entity_labels': Replace the values with the entity value.
• 'same_length_chars': Replace the name with the asterix with same length minus two plus brackets on both end.If the entity is less than 3 chars (like Jo, or 5), we can just use asterix without brackets.
• 'fixed_length_chars': Replace the obfuscated entity with a masking sequence composed of a fixed number of asterisk.
• Default: 'entity_labels'

If specified, the metadata includes the masked form of the document. Select the following masking policy if you want to return mask form in the metadata:

• 'entity_labels': Replace the values with the entity value.
• 'same_length_chars': Replace the name with the asterix with same length minus two plus brackets on both end.If the entity is less than 3 chars (like Jo, or 5), we can just use asterix without brackets.
• 'fixed_length_chars': Replace the obfuscated entity with a masking sequence composed of a fixed number of asterisk.
• Default: ""

Minimum year to use when converting date to year

Mode for Anonymizer ['mask'|'obfuscate']. Default: 'mask'

• Mask mode: The entities will be replaced by their entity types.
• Obfuscate mode: The entity is replaced by an obfuscator's term.

When mode=="obfuscate" whether to obfuscate dates or not. This param helps in consistency to make dateFormats more visible. When setting to true, make sure dateFormats param fits the needs. If the value is true and obfuscation is failed, then DeIdentificationParams.unnormalizedDateMode will be activated. When setting to 'false' then the date will be masked to <DATE> Default: false

The source of obfuscation to obfuscate the entities. The values are the following: 'file': Takes the entities from the obfuscatorRefFile 'faker': Takes the entities from the Faker module 'both': Takes the entities from the obfuscatorRefFile and the faker module randomly.

Sets the obfuscation strategy to be applied when an exception occurs.

The obfuscation strategy determines how obfuscation is handled in case of an exception. Four possible values are supported:

• "mask": The original chunk is replaced with a masking pattern.
• "default": The original chunk is replaced with a default faker.
• "skip": The original chunk is not replaced with any faker.
• "exception": Throws the exception.

The default obfuscation strategy is "default".

Whether to return all sentences joined into a single document

If the value is true, prioritize the regex entities; if the value is false, prioritize the ner. The default value is false. If DeIdentification.combineRegexPatterns is true, this value will be invalid.

With this property, you can select particular dateFormats. This property is especially used when obfuscating dates. You can decide whether the first part of 11/11/2023 is a day or the second part is a day when obfuscating dates. The values are following: 'eu' for European Union 'us' for USA Default: 'eu'

With this property, you can select if you want to return mapping column.

Similarity threshold [0.0-1.0] to consider two appearances of an entity as the same (default: 0.9) For date entities this method doesn't apply.

List of formatted entities to generate the same length outputs as original ones during obfuscation. The supported and default formatted entities are: PHONE, FAX, ID, IDNUM, BIOID, MEDICALRECORD, ZIP, VIN, SSN, DLN, LICENSE, PLATE, IRS, CFN.

It is the seed to select the entities on obfuscate mode. With the seed, you can reply to an execution several times with the same output.

dictionary of modes to enable multi-mode deidentification. 'obfuscate': Replace the values with random values. 'mask_same_length_chars': Replace the name with the asterix with same length minus two plus brackets on both end. 'mask_entity_labels': Replace the values with the entity value. 'mask_fixed_length_chars': Replace the name with the asterix with fixed length. You should also invoke "setFixedMaskLength()". 'skip': Skip the entities (intact) The entities which have not been given in dictionary will deidentify according to setMode().

The mode to use if the date is not formatted. [mask, obfuscate, skip] Default: obfuscate

The mode to use if the date is not formatted. [mask, obfuscate, skip] Default: obfuscate

Use shift days : Whether to use the random shift day when the document has this in its metadata. Default: False