Description
This model, extracts license number entities from clinical texts.
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")
phone_contextual_parser = ContextualParserModel.pretrained("phone_parser","en","clinical/models")\
.setInputCols(["sentence", "token"])\
.setOutputCol("chunk_phone")
chunk_converter = ChunkConverter()\
.setInputCols(["chunk_phone"])\
.setOutputCol("ner_chunk")
parserPipeline = Pipeline(stages=[
document_assembler,
sentence_detector,
tokenizer,
phone_contextual_parser,
chunk_converter
])
model = parserPipeline.fit(spark.createDataFrame([[""]]).toDF("text"))
sample_text = """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.
Phone: (818) 342-7353.
Email: medunites@firsthospital.com
Emergency contact phone: (555) 123-4567.
Additional phone number: (310) 987-6543."""
result = model.transform(spark.createDataFrame([[sample_text]]).toDF("text"))
document_assembler = nlp.DocumentAssembler()\
.setInputCol("text")\
.setOutputCol("document")
sentence_detector = nlp.SentenceDetectorDLModel.pretrained("sentence_detector_dl_healthcare","en","clinical/models")\
.setInputCols(["document"])\
.setOutputCol("sentence")
tokenizer = nlp.Tokenizer()\
.setInputCols(["sentence"])\
.setOutputCol("token")
phone_contextual_parser = medical.ContextualParserModel.pretrained("phone_parser","en","clinical/models")\
.setInputCols(["sentence", "token"])\
.setOutputCol("chunk_phone")
chunk_converter = medical.ChunkConverter()\
.setInputCols(["chunk_phone"])\
.setOutputCol("ner_chunk")
parserPipeline = nlp.Pipeline(stages=[
document_assembler,
sentence_detector,
tokenizer,
phone_contextual_parser,
chunk_converter
])
model = parserPipeline.fit(spark.createDataFrame([[""]]).toDF("text"))
sample_text = """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.
Phone: (818) 342-7353.
Email: medunites@firsthospital.com
Emergency contact phone: (555) 123-4567.
Additional phone number: (310) 987-6543."""
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 phone_contextual_parser = ContextualParserModel.pretrained("phone_parser","en","clinical/models")
.setInputCols(Array("sentence", "token"))
.setOutputCol("chunk_phone")
val chunk_converter = new ChunkConverter()
.setInputCols("chunk_phone")
.setOutputCol("ner_chunk")
val parserPipeline = new Pipeline().setStages(Array(
document_assembler,
sentence_detector,
tokenizer,
phone_contextual_parser,
chunk_converter
))
val sample_text = """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.
Phone: (818) 342-7353.
Email: medunites@firsthospital.com
Emergency contact phone: (555) 123-4567.
Additional phone number: (310) 987-6543."""
val data = Seq(sample_text).toDF("text")
val results = parserPipeline.fit(data).transform(data)
Results
| chunk | begin | end | label |
|:---------------|--------:|------:|:--------|
| (818) 342-7353 | 292 | 305 | PHONE |
| (818) 342-7354 | 316 | 329 | PHONE |
| (818) 342-7353 | 386 | 399 | PHONE |
| (555) 123-4567 | 462 | 475 | PHONE |
| (310) 987-6543 | 503 | 516 | PHONE |
Model Information
| Model Name: | phone_parser |
| Compatibility: | Healthcare NLP 6.2.2+ |
| License: | Licensed |
| Edition: | Official |
| Input Labels: | [document, token_doc] |
| Output Labels: | [entity_phone] |
| Language: | en |
| Size: | 4.6 KB |
| Case sensitive: | false |