Cargando…
Time-aware sport goods sale prediction for healthcare with privacy-preservation
Sports industry has been playing an important role in achieving good healthcare for public. However, with the advent of COVID-19, sports industry has been influenced significantly and the industry scale is decreased considerably. In this situation, how to accurately predict the sports industry scale...
Autores principales: | Zhou, Hui, Feng, Chunmei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd on behalf of ISA.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900737/ https://www.ncbi.nlm.nih.gov/pubmed/35835711 http://dx.doi.org/10.1016/j.isatra.2022.04.033 |
Ejemplares similares
-
Mobility-Aware Privacy-Preserving Mobile Crowdsourcing †
por: Qiu, Guoying, et al.
Publicado: (2021) -
Privacy-Preserving Sports Wearable Data Fusion Framework
por: Li, Jia, et al.
Publicado: (2022) -
Privacy-Preserving Process Mining in Healthcare †
por: Pika, Anastasiia, et al.
Publicado: (2020) -
Privacy-preserving dataset combination and Lasso regression for healthcare predictions
por: van Egmond, Marie Beth, et al.
Publicado: (2021) -
Retracted: Privacy-Preserving Sports Wearable Data Fusion Framework
por: Intelligence and Neuroscience, Computational
Publicado: (2023)