arXiv cs.LGPaper
Hidden Data Challenges in Clinical Machine Learning
This is a patient correction to clinical ML practice. Reused preprocessing pipelines encode invisible assumptions about what happened when and what missingness means. These errors compound when pipelines are copied. If you're deploying clinical models or auditing existing ones, read this. It's a checklist for sanity.