Exploration of a deep learning-based mechanism for predicting the work competence of community caregivers

Exploration of a deep learning-based mechanism for predicting the work competence of community caregivers

To predict the workability of community nursing staff and provide corresponding training strategies based on the results. In this study, a nursing staff workability prediction model based on R-GCN-GRU was constructed. In the process of community nursing staff workability feature extraction, the atte...

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Bibliographic Details
Main Authors: Huang Juan, Li Li, Zhang Lifang, Qiao Xindi, You Feng
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
deep learning
cross-entropy loss function
r-gcn-gru network
competency prediction model
community caregivers
70b15
Online Access:https://doi.org/10.2478/amns-2024-0206

Internet

https://doi.org/10.2478/amns-2024-0206

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