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Predicting of elderly population structure and density by a novel grey fractional-order model with theta residual optimization: a case study of Shanghai City, China

BACKGROUND: Accurately predicting the future development trend of population aging is conducive to accelerating the development of the elderly care industry. This study constructed a combined optimization grey prediction model to predict the structure and density of elderly population. METHODS: In t...

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Detalles Bibliográficos
Autores principales:	Guo, Xiaojun, Li, Jiaxin, Zhu, Xinyao, Yang, Yingjie, Jin, Jingliang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504713/ https://www.ncbi.nlm.nih.gov/pubmed/37716937 http://dx.doi.org/10.1186/s12877-023-04197-2

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