MIT Libraries, Federated Learning Framework for NLP in Healthcare: Assessing Hospital Readmission Using Electronic Health Records

The paper titled "Federated Learning Framework for NLP in Healthcare: Assessing Hospital Readmission Using Electronic Health Records" presents a federated learning approach to natural language processing (NLP) in healthcare, focusing on predicting hospital readmissions from electronic health records (EHRs). By training models across multiple institutions without centralizing data, the framework enhances predictive performance while maintaining patient privacy. This method addresses data-sharing challenges in healthcare, demonstrating the potential of federated learning to improve clinical outcome predictions.