6 papers · 1 filter
NEST: Nested Event Stream Transformer for Sequences of Multisets
Minghui Sun, Haoyu Gong, Xingyu You +3
Event stream data often exhibit hierarchical structure in which multiple events co-occur, resulting in a sequence of multisets (i.e., bags of events). In electronic health records…
Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Optimize Structured Data Only Deployment
Zigui Wang, Minghui Sun, Jiang Shu +3
Unstructured Electronic Health Record (EHR) data, such as clinical notes, contain clinical contextual observations that are not directly reflected in structured data fields. This a…
Interval-Based AUC (iAUC): Extending ROC Analysis to Uncertainty-Aware Classification
Yuqi Li, Matthew M. Engelhard
In high-stakes risk prediction, quantifying uncertainty through interval-valued predictions is essential for reliable decision-making. However, standard evaluation tools like the r…
Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning
Minghui Sun, Matthew M. Engelhard, Benjamin A. Goldstein
Risk assessments for a pediatric population are often conducted across multiple stages. For example, clinicians may evaluate risks prenatally, at birth, and during Well-Child visit…
FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
Pengxi Liu, Yi Shen, Matthew M. Engelhard +4
Fairness metrics utilizing the area under the receiver operator characteristic curve (AUC) have gained increasing attention in high-stakes domains such as healthcare, finance, and…
CLEAR: Unlearning Spurious Style-Content Associations with Contrastive LEarning with Anti-contrastive Regularization
Minghui Sun, Benjamin A. Goldstein, Matthew M. Engelhard
Learning representations unaffected by superficial characteristics is important to ensure that shifts in these characteristics at test time do not compromise downstream prediction…