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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Detalles Bibliográficos
Autores principales: Osawa, Itsuki, Goto, Tadahiro, Yamamoto, Yuji, Tsugawa, Yusuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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

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