ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2026
End-to-end extraction of temporal information from psychiatric discharge summaries.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
7 authors.
Funding
Abstract
Among the many types of information embedded in electronic health records that may yield insights into patients' health trajectories, events and the relations between them hold particular promise. But this area is poorly explored, particularly within the psychiatric domain. To fill this gap, we trained five new models to extract events, time ex- pressions, and relations from psychiatric notes. We evaluated these models alongside a similar model trained to do the same task on colon cancer notes. We found that each of the psychiatrically fine-tuned models outperformed the pre-existing model; among the new models, some training choices gave small performance improvements over others.
Identifiers
42317808PMC13274324What OpenQuestion holds
Registered trials
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