Annotation of Trauma-related Linguistic Features in Psychiatric Electronic Health Records for Machine Learning Applications

Psychiatric electronic health records (EHRs) present a distinctive challenge in the domain of ML owing to their unstructured nature, with a high degree of complexity and variability. This study aimed to identify a cohort of patients with diagnoses of a psychotic disorder and posttraumatic stress dis...

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Detalles Bibliográficos
Autores principales: Holderness, Eben, Atwood, Bruce, Verhagen, Marc, Shinn, Ann, Cawkwell, Philip, Pustejovsky, James, Hall, Mei-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081360/
https://www.ncbi.nlm.nih.gov/pubmed/37034796
http://dx.doi.org/10.21203/rs.3.rs-2711718/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081360/
https://www.ncbi.nlm.nih.gov/pubmed/37034796
http://dx.doi.org/10.21203/rs.3.rs-2711718/v1

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