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README.md
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<h2>How to use</h2>
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<h2>De-identification</h2>
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We applied a de-identification system to remove protected health information (PHI) from clinical text. We adopted the safe-harbor method to identify 18 PHI categories defined in the Health Insurance Portability and Accountability Act (HIPAA) and replaced them with dummy strings (e.g., replace people’s names into [\*\*NAME\*\*]).
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<h2>How to use</h2>
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An NLP pacakge using GatorTron for clinical concept extraction (Named Entity Recognition): https://github.com/uf-hobi-informatics-lab/ClinicalTransformerNER
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An NLP pacakge using GatorTron for relation extraction: https://github.com/uf-hobi-informatics-lab/ClinicalTransformerRelationExtraction
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An NLP pacakge using GatorTron for extraction of social determinants of health from clinical narratives: https://github.com/uf-hobi-informatics-lab/SDoH_SODA
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<h2>De-identification</h2>
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We applied a de-identification system to remove protected health information (PHI) from clinical text. We adopted the safe-harbor method to identify 18 PHI categories defined in the Health Insurance Portability and Accountability Act (HIPAA) and replaced them with dummy strings (e.g., replace people’s names into [\*\*NAME\*\*]).
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