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#longitudinal-data

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papersTODAY 04:00 UTC

LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction

A new arXiv paper introduces LongAgent, an agentic search method that uses patient history to predict future medical outcomes from longitudinal data. The authors note that such datasets are heterogeneous, with many variables collected across different sources and time points. The approach aims to extract representations from this messy, multi-source data that improve downstream outcome prediction.

agents/healthcare/research/longitudinal-data