Cargando…
The Development of the Military Service Identification Tool: Identifying Military Veterans in a Clinical Research Database Using Natural Language Processing and Machine Learning
BACKGROUND: Electronic health care records (EHRs) are a rich source of health-related information, with potential for secondary research use. In the United Kingdom, there is no national marker for identifying those who have previously served in the Armed Forces, making analysis of the health and wel...
Autores principales: | Leightley, Daniel, Pernet, David, Velupillai, Sumithra, Stewart, Robert J, Mark, Katharine M, Opie, Elena, Murphy, Dominic, Fear, Nicola T, Stevelink, Sharon A M |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281146/ https://www.ncbi.nlm.nih.gov/pubmed/32348287 http://dx.doi.org/10.2196/15852 |
Ejemplares similares
-
Military veterans and civilians’ mental health diagnoses: an analysis of secondary mental health services
por: Williamson, Charlotte, et al.
Publicado: (2022) -
Identifying Military Service Status in Electronic Healthcare Records from Psychiatric Secondary Healthcare Services: A Validation Exercise Using the Military Service Identification Tool
por: Leightley, Daniel, et al.
Publicado: (2023) -
Identifying Veterans Using Electronic Health Records in the United Kingdom: A Feasibility Study
por: M. Mark, Katharine, et al.
Publicado: (2019) -
The impact of moral injury on the wellbeing of UK military veterans
por: Williamson, Victoria, et al.
Publicado: (2021) -
Rates and Associated Factors of Secondary Mental Health Care Utilisation among Ex-Military Personnel in the United States: A Narrative Review
por: Mark, Katharine M., et al.
Publicado: (2019)