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TIDE 2.0: an open, model-agnostic engine for keyed de-identification of clinical notes
Clinical notes capture most of what is documented about a patient's care, but they cannot be used for research until protected health information (PHI) is removed. De-identification is often treated as a detection problem. Detection alone is not sufficient: redaction strips clinical content along wi
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