Optimization and Evaluation of an Intelligent Short-Term Blood Glucose Prediction Model Based on Noninvasive Monitoring and Deep Learning Techniques.

Zhang Y, Gao G

DOI: 10.1155/2022/8956850
Published: 2022
Container: Journal of healthcare engineering
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/8956850,
  title = {Optimization and Evaluation of an Intelligent Short-Term Blood Glucose Prediction Model Based on Noninvasive Monitoring and Deep Learning Techniques.},
  author = {Zhang Y and Gao G},
  year = {2022},
  journal = {Journal of healthcare engineering},
  doi = {10.1155/2022/8956850},
  url = {https://doi.org/10.1155/2022/8956850}
}

RIS

TY  - JOUR
TI  - Optimization and Evaluation of an Intelligent Short-Term Blood Glucose Prediction Model Based on Noninvasive Monitoring and Deep Learning Techniques.
AU  - Zhang Y
AU  - Gao G
PY  - 2022
JO  - Journal of healthcare engineering
DO  - 10.1155/2022/8956850
UR  - https://doi.org/10.1155/2022/8956850
ER  -

APA

Y, Z., & G, G. (2022). Optimization and Evaluation of an Intelligent Short-Term Blood Glucose Prediction Model Based on Noninvasive Monitoring and Deep Learning Techniques.. Journal of healthcare engineering. https://doi.org/10.1155/2022/8956850

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pubmed · retrieved 2026-09-25T04:56:30.058Z