Athlete Health Status Assessment Based on Edge Computing Model and Large-Scale Multimedia Health Data Analysis.

Zhang X

Open source

DOI
10.1155/2022/1079663
Published
2022
Container
Computational intelligence and neuroscience
Publisher
Not recorded
Open access
yes

Credibility signals

serious concern Score 10/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1155/2022/1079663,
  title = {Athlete Health Status Assessment Based on Edge Computing Model and Large-Scale Multimedia Health Data Analysis.},
  author = {Zhang X},
  year = {2022},
  journal = {Computational intelligence and neuroscience},
  doi = {10.1155/2022/1079663},
  url = {https://doi.org/10.1155/2022/1079663}
}

RIS

TY  - JOUR
TI  - Athlete Health Status Assessment Based on Edge Computing Model and Large-Scale Multimedia Health Data Analysis.
AU  - Zhang X
PY  - 2022
JO  - Computational intelligence and neuroscience
DO  - 10.1155/2022/1079663
UR  - https://doi.org/10.1155/2022/1079663
ER  - 

APA

X, Z. (2022). Athlete Health Status Assessment Based on Edge Computing Model and Large-Scale Multimedia Health Data Analysis.. Computational intelligence and neuroscience. https://doi.org/10.1155/2022/1079663

Source records