A Large-Language Model Framework for Relative Timeline Extraction from PubMed Case Reports
Timing of clinical events is central to characterization of patient trajectories, enabling analyses such as process tracing, forecasting, and causal reasoning. However, structured electronic health records capture few data elements critical to these tasks, while clinical reports lack temporal locali...
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Published in | AMIA Summits on Translational Science proceedings Vol. 2025; pp. 598 - 606 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
United States
American Medical Informatics Association
2025
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Online Access | Get full text |
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