393 citations · 684 across the 70 of their papers we have counts for
14 papers · 1 filter
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources
Yikuan Li, Chengsheng Mao, Kaixuan Huang +4
Scarcity of health care resources could result in the unavoidable consequence of rationing. For example, ventilators are often limited in supply, especially during public health em…
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
Yuankai Luo, Hongkang Li, Lei Shi +1
Graph transformers need strong inductive biases to derive meaningful attention scores. Yet, current methods often fall short in capturing longer ranges, hierarchical structures, or…
SHINE: SubHypergraph Inductive Neural nEtwork
Yuan Luo
Hypergraph neural networks can model multi-way connections among nodes of the graphs, which are common in real-world applications such as genetic medicine. In particular, genetic p…
Open-Set Recognition of Breast Cancer Treatments
Alexander Cao, Diego Klabjan, Yuan Luo
Open-set recognition generalizes a classification task by classifying test samples as one of the known classes from training or "unknown." As novel cancer drug cocktails with impro…
Natural language processing to identify lupus nephritis phenotype in electronic health records
Yu Deng, Jennifer A. Pacheco, Anh Chung +14
Systemic lupus erythematosus (SLE) is a rare autoimmune disorder characterized by an unpredictable course of flares and remission with diverse manifestations. Lupus nephritis, one…
Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients
Hanyin Wang, Yikuan Li, Andrew Naidech +1
Background Sepsis is one of the most life-threatening circumstances for critically ill patients in the US, while a standardized criteria for sepsis identification is still under de…