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20182024
most citedPatient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records

20 citations · 34 across the 3 of their papers we have counts for

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cs.LG2018★ 14 cited

LoAdaBoost: loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data

Li Huang, Yifeng Yin, Zeng Fu +3

Intensive care data are valuable for improvement of health care, policy making and many other purposes. Vast amount of such data are stored in different locations, on many differen…