3 papers
cs.LG2026
Rank-Learner: Orthogonal Ranking of Treatment Effects
Henri Arno, Dennis Frauen, Emil Javurek +2
Many decision-making problems require ranking individuals by their treatment effects rather than estimating the exact effect magnitudes. Examples include prioritizing patients for…
cs.LG2026
Annotation-Assisted Learning of Treatment Policies From Multimodal Electronic Health Records
Henri Arno, Thomas Demeester
We study how to learn treatment policies from multimodal electronic health records (EHRs) that consist of tabular data and clinical text. These policies can help physicians make be…
cs.AI2025
SimSUM: Simulated Benchmark with Structured and Unstructured Medical Records
Paloma Rabaey, Stefan Heytens, Thomas Demeester
Clinical information extraction, which involves structuring clinical concepts from unstructured medical text, remains a challenging problem that could benefit from the inclusion of…