Machine learning in psychiatric health records: A gold standard approach to trauma annotation
Abstract Psychiatric electronic health records present unique challenges for machine learning due to their unstructured, complex, and variable nature. This study aimed to create a gold standard dataset by identifying a cohort of patients with psychotic disorders and posttraumatic stress disorder, (P...
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| Autors principals: | , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group
2025-08-01
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| Col·lecció: | Translational Psychiatry |
| Accés en línia: | https://doi.org/10.1038/s41398-025-03487-0 |
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