updated README
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README.md
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# BERT-based deidentification model
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This repo contains model weights trained on the I2B2 dataset.
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# BERT-based deidentification model
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This repo contains model weights trained on the I2B2 dataset. Note that the hosted inference API uses a different tokenizer than what we developed for this task.
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Please see [OBI EHR deidentification](https://github.com/obi-ds/ehr_deidentification) for more details and how to get started.
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---
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language:
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- en
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thumbnail: "https://www.onebraveidea.org/wp-content/uploads/2019/07/OBI-Logo-Website.png"
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tags:
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- deidentification
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- medical notes
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license: "any valid license identifier"
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datasets:
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- I2B2
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metrics:
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- F1
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- Recall
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- AUC
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widget:
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- text: "Physician Discharge Summary Admit date: 10/12/1982 Discharge date: 10/22/1982 Patient Information Jack Smith, 54 y.o. male (DOB = 1/21/1928)."
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- text: "Home Address: 123 Park Drive, San Diego, CA, 03245. Home Phone: 202-555-0199 (home)."
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- text: "Hospital Care Team Service: Orthopedics Inpatient Attending: Roger C Kelly, MD Attending phys phone: (634)743-5135 Discharge Unit: HCS843 Primary Care Physician: Hassan V Kim, MD 512-832-5025."
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