Federated Multiple Imputation for Variables that Are Missing Not At Random in Distributed Electronic Health Records
Yi Lian,
Xiaoqian Jiang,
Qi Long
Abstract:Large electronic health records (EHR) have been widely implemented and are available for research activities. The magnitude of such databases often requires storage and computing infrastructure that are distributed at different sites. Restrictions on data-sharing due to privacy concerns have been another driving force behind the development of a large class of distributed and/or federated machine learning methods. While missing data problem is also present in distributed EHRs, albeit potentially more complex, … Show more
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