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Using health administrative data to model associations and predict hospital admissions and length of stay for people with eating disorders
BACKGROUND: Eating disorders are serious mental illnesses requiring a whole of health approach. Routinely collected health administrative data has clinical utility in describing associations and predicting health outcome measures. This study aims to develop models to assess the clinical utility of h...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170048/ https://www.ncbi.nlm.nih.gov/pubmed/37165320 http://dx.doi.org/10.1186/s12888-023-04688-x |