# Medical Text De-identification

This model is a fine-tuned version of obi/deid_roberta_i2b2 on an unknown dataset, primarily used for text processing tasks.

This model is a sequence labeling model fine-tuned on RoBERTa, designed to identify and remove Protected Health Information (PHI/PII) from medical records.

This model is used to identify and remove protected health information (PHI/PII) from medical records in compliance with HIPAA privacy standards.

MS-BERT is a BERT model pretrained on neurological examination records of multiple sclerosis (MS) patients, specifically designed for medical text analysis.