Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records

• Published in: Journal of biomedical informatics Vol. 99; p. 103291
• Main Authors: Huang, Li, Shea, Andrew L., Qian, Huining, Masurkar, Aditya, Deng, Hao, Liu, Dianbo
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.11.2019
• Subjects: Autoencoder; Critical care; Distributed clustering; Federated machine learning; Non-IID; Critical care; Distributed clustering; Autoencoder; Non-IID; Federated machine learning

[Display omitted] •Non-identically independently distributed and private electronic medical records.•Distributed clustering of patients into clinically meaningful communities.•Community-based learning leaves all data and computation local on silos.•Performant algorithm of high predictive accuracy an...