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Predicting high health-cost users among people with cardiovascular disease using machine learning and nationwide linked social administrative datasets
OBJECTIVES: To optimise planning of public health services, the impact of high-cost users needs to be considered. However, most of the existing statistical models for costs do not include many clinical and social variables from administrative data that are associated with elevated health care resour...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898915/ https://www.ncbi.nlm.nih.gov/pubmed/36738348 http://dx.doi.org/10.1186/s13561-023-00422-1 |