AIBearisharXiv – CS AI · 6h ago7/10
🧠
Before the Labels: How Dataset Construction Shapes Suicidality Detection in Clinical Text
Researchers demonstrate that clinical NLP datasets for suicidality detection, particularly the ScAN dataset built on MIMIC-III notes, embed specific operational choices that obscure how labels are constructed rather than representing objective ground truth. The study reveals that dataset design decisions—including single annotators, ICD-based cohort selection, and hospital-stay aggregation—shape what suicidality means in algorithmic systems, highlighting critical gaps between documented clinical judgments and actual suicidal intent.