Patient privacy protection: Generating available medical treatment plans based on federated learning and CBR

Abstract

Although the favorable impact of sharing electronic medical records (EMRs) with other hospitals on improving clinical decision-making efficiency is widely acknowledged, the actual implementation of EMR sharing has been limited to some extent because of patient privacy protections. This study proposes a three-stage framework to retrieve medical treatment plans from multiple hospitals based on federated learning and case-based reasoning (CBR). We demonstrate that the proposed framework compensates for the privacy protection weaknesses of CBR and solves the problem of data islands among hospitals.