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Machine-learning-based prediction models for high-need high-cost patients using nationwide clinical and claims data
High-need, high-cost (HNHC) patients—usually defined as those who account for the top 5% of annual healthcare costs—use as much as half of the total healthcare costs. Accurately predicting future HNHC patients and designing targeted interventions for them has the potential to effectively control rap...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658979/ https://www.ncbi.nlm.nih.gov/pubmed/33299137 http://dx.doi.org/10.1038/s41746-020-00354-8 |