“This term reflects the paper’s emphasis on using high-throughput machine learning models to precisely detect sensitive data, specifically Protected Health Information (PHI), in electronic health records. The term ‘Precision’ highlights the accuracy and specificity of the approach, while ‘PHI Screening’ directly references the focus on identifying and protecting sensitive health information in compliance with regulations like HIPAA. This term aligns with the paper’s innovative approach to enhancing data privacy and security in the healthcare domain through advanced machine learning techniques.”

Read Sensitive Data Detection with High-Throughput Machine Learning Models in Electrical Health Records