High Accuracy Open-Source Clinical Data De-Identification: The CliniDeID Solution.
Journal:
Studies in health technology and informatics
Published Date:
Jan 25, 2024
Abstract
Clinical data de-identification offers patient data privacy protection and eases reuse of clinical data. As an open-source solution to de-identify unstructured clinical text with high accuracy, CliniDeID applies an ensemble method combining deep and shallow machine learning with rule-based algorithms. It reached high recall and precision when recently evaluated with a selection of clinical text corpora.
