30 citations · 31 across the 3 of their papers we have counts for
3 papers
dsLassoCov: a federated machine learning approach incorporating covariate control
Han Cao, Augusto Anguita, Charline Warembourg +8
Machine learning has been widely adopted in biomedical research, fueled by the increasing availability of data. However, integrating datasets across institutions is challenging due…
MTLComb: multi-task learning combining regression and classification tasks for joint feature selection
Han Cao, Sivanesan Rajan, Bianka Hahn +4
Multi-task learning (MTL) is a learning paradigm that enables the simultaneous training of multiple communicating algorithms. Although MTL has been successfully applied to ether re…
Leveraging Implicit Expert Knowledge for Non-Circular Machine Learning in Sepsis Prediction
Shigehiko Schamoni, Holger A. Lindner, Verena Schneider-Lindner +2
Sepsis is the leading cause of death in non-coronary intensive care units. Moreover, a delay of antibiotic treatment of patients with severe sepsis by only few hours is associated…