Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records

Abstract Background Extracting research of domain criteria (RDoC) from high-risk populations like those with post-traumatic stress disorder (PTSD) is crucial for positive mental health improvements and policy enhancements. The intricacies of collecting, integrating, and effectively leveraging clinic...

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Detalhes bibliográficos

Principais autores:	Oshin Miranda, Sophie Marie Kiehl, Xiguang Qi, M. Daniel Brannock, Thomas Kosten, Neal David Ryan, Levent Kirisci, Yanshan Wang, LiRong Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2024-06-01
coleção:	BMC Medical Informatics and Decision Making
Assuntos:	Post-traumatic stress disorder Research of domain criteria Real-world evidence Clinical notes Natural language processing
Acesso em linha:	https://doi.org/10.1186/s12911-024-02554-8
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