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

Internet

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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