AI RESEARCH
SurvBench: A Standardised Preprocessing Pipeline for Multi-Modal Electronic Health Record Survival Analysis
arXiv CS.LG
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ArXi:2511.11935v2 Announce Type: replace Deep-learning survival models for electronic health record (EHR) data are hard to compare across papers because the upstream preprocessing step, which includes cohort definition, time discretisation, missingness handling, and censoring rules, is typically undocumented and inconsistent. A reported difference in concordance between two mortality models can. therefore. reflect any of these choices rather than a modelling contribution.