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  • John Snow Labs
  • Jun 19, 2024

Phone Regex Matcher

  • en
  • licensed
  • clinical
  • phone
  • regexmatcher

Description

This model extracts phone entities in clinical notes using rule-based RegexMatcherInternal annotator.

Predicted Entities

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How to use

documentAssembler = DocumentAssembler()\
    .setInputCol("text")\
    .setOutputCol("document")

sentenceDetector = SentenceDetectorDLModel.pretrained("sentence_detector_dl_healthcare","en","clinical/models")\
    .setInputCols(["document"])\
    .setOutputCol("sentence")

tokenizer = Tokenizer()\
    .setInputCols(["sentence"])\
    .setOutputCol("token")

regex_matcher = RegexMatcherInternalModel.pretrained("phone_matcher","en","clinical/models") \
    .setInputCols(["sentence"])\
    .setOutputCol("phone_entity")\

regex_pipeline = Pipeline().setStages([
    documentAssembler,
    sentenceDetector,
    tokenizer,
    regex_matcher])

data = spark.createDataFrame([["""Record date :2093-01-13,  David Hale, M.D. IP 203.120.223.13.
ID: 1231511863, The driver's license no:A334455B and e-mail: hale@gmail.com .
PCP : Oliveira, 25 years-old, Jake 5 year old, Record date : 2079-11-09.
Cocke County Baptist Hospital , 0295 Keats Street, 12345, TX 55555-4444. Phone: (818) 342-7353 Fax No.: (818) 342-7354, SSN# 332255677, The other is ssN: 333-44-6666."""]]).toDF("text")

result = regex_pipeline.fit(data).transform(data)

val documentAssembler = new DocumentAssembler()
	.setInputCol("text")
	.setOutputCol("document")

val sentenceDetector = SentenceDetectorDLModel.pretrained("sentence_detector_dl_healthcare","en","clinical/models")
	.setInputCols(Array("document"))
	.setOutputCol("sentence")

val tokenizer = new Tokenizer()
	.setInputCols(Array("sentence"))
	.setOutputCol("token")

val regex_matcher = RegexMatcherInternalModel.pretrained("phone_matcher","en","clinical/models")
	.setInputCols(Array("sentence"))
	.setOutputCol("phone_entity")
	.setMergeOverlapping(true)

val regex_pipeline = new Pipeline().setStages(Array(
		documentAssembler,
		sentenceDetector,
		tokenizer,
		regex_matcher))

val data = Seq("""Record date :2093-01-13,  David Hale, M.D. IP 203.120.223.13.
ID: 1231511863, The driver's license no:A334455B and e-mail: hale@gmail.com .
PCP : Oliveira, 25 years-old, Jake 5 year old, Record date : 2079-11-09.
Cocke County Baptist Hospital , 0295 Keats Street, 12345, TX 55555-4444. Phone: (818) 342-7353 Fax No.: (818) 342-7354, SSN# 332255677, The other is ssN: 333-44-6666.""").toDF("text")

val result = regex_pipeline.fit(data).transform(data)

Results

+--------------+-----+---+-----+
|         chunk|begin|end|label|
+--------------+-----+---+-----+
|(818) 342-7353|  293|306|PHONE|
|(818) 342-7354|  317|330|PHONE|
+--------------+-----+---+-----+

Model Information

Model Name: phone_matcher
Compatibility: Healthcare NLP 5.3.3+
License: Licensed
Edition: Official
Input Labels: [sentence]
Output Labels: [entity_phone]
Language: en
Size: 6.9 KB