Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care is a research paper published in PLOS Digital Health (2023). On theSindex it has a DataRank of 0. It has been cited 37 times.
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NIGMS NIH HHS
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Tri-Institutional Training Program in Computational Biology & Medicine
Amazon Machine Learning Research
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