Account Number Contextual Parser Model

Description

This model, extracts account number entities from clinical texts.

Predicted Entities

ACCOUNT

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How to use


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

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

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

account_contextual_parser = ContextualParserModel.pretrained("account_parser","en","clinical/models") \
    .setInputCols(["sentence", "token"]) \
    .setOutputCol("chunk_account")

chunk_converter = ChunkConverter() \
    .setInputCols(["chunk_account"]) \
    .setOutputCol("ner_chunk")

parserPipeline = Pipeline(stages=[
        document_assembler,
        sentence_detector,
        tokenizer,
        account_contextual_parser,
        chunk_converter
        ])

model = parserPipeline.fit(spark.createDataFrame([[""]]).toDF("text"))

sample_text = """Name : Hendrickson, Ora, Record date: 2093-01-13, # 719435.
Dr. John Green, ID: 1231511863, IP 203.120.223.13. account: 1234567890120 route number: 123567
He is a 60-year-old male was admitted to the Day Hospital for cystectomy on 01/13/93.
Patient's VIN : 1HGBH41JXMN109286, SSN #333-44-6666, Driver's license no:A334455B.
Phone (302) 786-5227, 0295 Keats Street, San Francisco, E-MAIL: smith@gmail.com."""

result = model.transform(spark.createDataFrame([[sample_text]]).toDF("text"))


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

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

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

val account_contextual_parser = ContextualParserModel.pretrained("account_parser","en","clinical/models")
    .setInputCols(Array("sentence", "token"))
    .setOutputCol("chunk_account")

val chunk_converter = new ChunkConverter()
    .setInputCols("chunk_account")
    .setOutputCol("ner_chunk")

val parserPipeline = new Pipeline().setStages(Array(
        document_assembler,
        sentence_detector,
        tokenizer,
        account_contextual_parser,
        chunk_converter
))


val sample_text = """Name : Hendrickson, Ora, Record date: 2093-01-13, # 719435.
Dr. John Green, ID: 1231511863, IP 203.120.223.13. account: 1234567890120 route number: 123567
He is a 60-year-old male was admitted to the Day Hospital for cystectomy on 01/13/93.
Patient's VIN : 1HGBH41JXMN109286, SSN #333-44-6666, Driver's license no:A334455B.
Phone (302) 786-5227, 0295 Keats Street, San Francisco, E-MAIL: smith@gmail.com."""

val data = Seq(sample_text).toDF("text")

val results = parserPipeline.fit(data).transform(data)

Results


+-------------+-----+---+-------+
|        chunk|begin|end|  label|
+-------------+-----+---+-------+
|1234567890120|  120|132|ACCOUNT|
|       123567|  148|153|ACCOUNT|
+-------------+-----+---+-------+

Model Information

Model Name: account_parser
Compatibility: Healthcare NLP 5.5.0+
License: Licensed
Edition: Official
Input Labels: [sentence, token]
Output Labels: [entity_account]
Language: en
Size: 9.6 KB
Case sensitive: false