Detecting clinically significant events through automated language analysis: Quo imus?

摘要

We found the recent paper by Bedi et al. 1 simultaneously exciting, heartening and, sadly, a bit discouraging. It shows that modern, statistical natural language processing (NLP) and machine-learning (ML) techniques can potentially be useful as a component of diagnosis, here predicting who among those at risk will eventually transition to full-blown psychosis.