Predicting the number of care beds for older people by a novel grey Verhulst cosine self-memory model: two case studies of Jiangsu and Shanghai, China

Abstract Background Accurate prediction of care resource demands for older people is critical for the Chinese government in policy formulation and resource optimization. To enhance prediction accuracy, this study proposes a grey Verhulst cosine self-memory model (GVC-SM), designed to forecast future...

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Detalhes bibliográficos

Principais autores:	Xiaojun Guo, Ying Wu, Houxue Shen, Yingjie Yang, Jingliang Jin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2026-04-01
coleção:	BMC Geriatrics
Assuntos:	Population aging Care beds for older people prediction Grey prediction model Grey verhulst cosine model Self-memory principle
Acesso em linha:	https://doi.org/10.1186/s12877-026-07337-6
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