Temporal prediction of in-hospital falls using tensor factorisation

In-hospital fall incidence is a critical indicator of healthcare outcome. Predictive models for fall incidents could facilitate optimal resource planning and allocation for healthcare providers. In this paper, we proposed a tensor factorisation-based framework to capture the latent features for fall...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Haolin, Zhang, Qingpeng, So, Hing-Yu, Kwok, Angela, Wong, Zoie Shui-Yee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Health IT, systems and process innovations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5890633/
https://www.ncbi.nlm.nih.gov/pubmed/29670759
http://dx.doi.org/10.1136/bmjinnov-2017-000221

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5890633/
https://www.ncbi.nlm.nih.gov/pubmed/29670759
http://dx.doi.org/10.1136/bmjinnov-2017-000221

Ejemplares similares