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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...
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| Yayımlandı: | NPJ Digit Med |
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| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Publishing Group UK
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7658979/ https://ncbi.nlm.nih.gov/pubmed/33299137 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-020-00354-8 |
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