2024-02-09-clinical_deidentification_obfuscation_small_en

docs/_posts/ahmet-mesut/2024-02-09-clinical_deidentification_obfuscation_small_en.md

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+---
+layout: model
+title: Clinical Deidentification Pipeline - Obfuscation (Small)
+author: John Snow Labs
+name: clinical_deidentification_obfuscation_small
+date: 2024-02-09
+tags: [licensed, en, clinical, deid, pipeline]
+task: [De-identification, Pipeline Healthcare]
+language: en
+edition: Healthcare NLP 5.2.1
+spark_version: 3.2
+supported: true
+annotator: PipelineModel
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+This pipeline can be used to detect the PHI information from medical texts and obfuscate (replace them with fake ones) in the resulting text.
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/models/clinical_deidentification_obfuscation_small_en_5.2.1_3.2_1707496853724.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/models/clinical_deidentification_obfuscation_small_en_5.2.1_3.2_1707496853724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+
+```python
+
+from sparknlp.pretrained import PretrainedPipeline
+
+deid_pipeline = PretrainedPipeline("clinical_deidentification_obfuscation_small", "en", "clinical/models")
+
+result = deid_pipeline.annotate("""Name : Hendrickson, Ora, Record date: 2093-01-13, MR 719435.
+Dr. John Green, ID: 1231511863, IP 203.120.223.13.
+He is a 60-year-old male was admitted to the Day Hospital for cystectomy on 12/17/1993.
+SSN #333-44-6666, Driver's license no: A334455B.
+Phone 302-786-5227, 0295 Keats Street, San Francisco, E-MAIL: [email protected].""")
+
+
+```
+```scala
+
+
+import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
+
+val deid_pipeline = PretrainedPipeline("clinical_deidentification_obfuscation_small", "en", "clinical/models")
+
+val result = deid_pipeline.annotate("""Name : Hendrickson, Ora, Record date: 2093-01-13, MR 719435.
+Dr. John Green, ID: 1231511863, IP 203.120.223.13.
+He is a 60-year-old male was admitted to the Day Hospital for cystectomy on 12/17/1993.
+SSN #333-44-6666, Driver's license no: A334455B.
+Phone 302-786-5227, 0295 Keats Street, San Francisco, E-MAIL: [email protected].""")
+
+
+```
+</div>
+
+## Results
+
+```bash
+
+Obfuscated
+------------------------------
+Name : Renda Rolls, Record date: 2093-02-26, MR 161096.
+Dr. Josephina Shih, ID: 9811914782, IP 444.444.444.444.
+He is a 69-year-old male was admitted to the STONE COUNTY HOSPITAL for cystectomy on 01/30/1994.
+SSN #956-21-3086, Driver's license no: V784696E.
+Phone 952-841-3244, Lestad, Big bear lake, E-MAIL: [email protected].
+
+```
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinical_deidentification_obfuscation_small|
+|Type:|pipeline|
+|Compatibility:|Healthcare NLP 5.2.1+|
+|License:|Licensed|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- TokenizerModel
+- WordEmbeddingsModel
+- MedicalNerModel
+- NerConverter
+- TextMatcherModel
+- RegexMatcherModel
+- ChunkMergeModel
+- DeIdentificationModel
+- Finisher