A hybrid pipeline that feeds LLM-derived contextual signals into classical time-series models yields more stable and better-calibrated hospitalization forecasts than direct LLM forecasting or standard ARX models across 60 US counties.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Context-Aware Hospitalization Forecasting Evaluations for Decision Support using LLMs
A hybrid pipeline that feeds LLM-derived contextual signals into classical time-series models yields more stable and better-calibrated hospitalization forecasts than direct LLM forecasting or standard ARX models across 60 US counties.