Privacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacy

arXiv:2406.15962v1 Announce Type: cross
Abstract: An Electronic Health Record (EHR) is an electronic database used by healthcare providers to store patients' medical records which may include diagnoses, treatments, costs, and other personal information. Machine learning (ML) algorithms can be used to extract and analyze patient data to improve patient care. Patient records contain highly sensitive information, such as social security numbers (SSNs) and residential addresses, which introduces a need to apply privacy-preserving techniques for these ML models using federated learning …

algorithms arxiv can cs.cr cs.et cs.lg data database differential privacy ehr electronic electronic health records extract federated federated learning health healthcare healthcare providers information machine machine learning may medical patient data patients personal personal information privacy privacy preserving record records store using