Domain-specific Spanish models combined with ICE's automatic relabeling can detect mental health risks earlier and more reliably than general approaches, addressing a critical gap in non-English mental health AI tools.
This paper tackles mental health screening in Spanish by creating specialized language models and a new method called Incremental Context Expansion (ICE) that automatically identifies when enough social media messages accumulate to signal a mental health disorder. The approach reduces the time needed to detect problems while maintaining accuracy, with all models made publicly available.