State-of-the-art anonymization of medical records using an iterative machine learning framework.
The anonymization of medical records is of great importance in the human life sciences because a de-identified text can be made publicly available for non-hospital researchers as well, to facilitate research on human diseases. Here the authors have developed a de-identification model that can successfully remove personal health information (PHI) from discharge records to make them conform to the guidelines of the Health Information Portability and Accountability Act.
Author(s): Szarvas, György, Farkas, Richárd, Busa-Fekete, Róbert
DOI: 10.1197/j.jamia.M2441