14 citations · 16 across the 3 of their papers we have counts for
3 papers
eess.SP2023
A Transformer-based Deep Learning Algorithm to Auto-record Undocumented Clinical One-Lung Ventilation Events
Zhihua Li, Alexander Nagrebetsky, Sylvia Ranjeva +6
As a team studying the predictors of complications after lung surgery, we have encountered high missingness of data on one-lung ventilation (OLV) start and end times due to high cl…
cs.CY2020★ 2 cited
Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records
Jianfei Cui, He Zhu, Hao Deng +2
Sometimes electrical medical records are restricted and difficult to centralize for machine learning, which could only be trained in distributed manner that involved many instituti…
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…