2026
Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare
AAAI 2026technical
Clinical case reports encode temporal patient trajectories that are often underexploited by traditional machine learning methods relying on structured data. In this work, we introduce the forecasting problem from textual time series, where timestamped clinical findings—extracted via an LLM-assisted