Early Risk Prediction with Temporally and Contextually Grounded Clinical Language Processing

This article likely discusses a research paper on using clinical language processing to predict risks in healthcare. The focus is on incorporating temporal and contextual information, which suggests a sophisticated approach to analyzing patient data. The use of 'grounded' implies the model is designed to connect language with real-world clinical events and data.