Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review.

Cheng Y, Cheng R, Xu T, Tan X, Bai Y

DOI: 10.3390/bioengineering12050514
Published: 2025 May 13
Container: Bioengineering (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/bioengineering12050514,
  title = {Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review.},
  author = {Cheng Y and Cheng R and Xu T and Tan X and Bai Y},
  year = {2025},
  journal = {Bioengineering (Basel, Switzerland)},
  doi = {10.3390/bioengineering12050514},
  url = {https://doi.org/10.3390/bioengineering12050514}
}

RIS

TY  - JOUR
TI  - Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review.
AU  - Cheng Y
AU  - Cheng R
AU  - Xu T
AU  - Tan X
AU  - Bai Y
PY  - 2025
JO  - Bioengineering (Basel, Switzerland)
DO  - 10.3390/bioengineering12050514
UR  - https://doi.org/10.3390/bioengineering12050514
ER  -

APA

Y, C., R, C., T, X., X, T., & Y, B. (2025). Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering12050514

Source records

pubmed · retrieved 2026-09-24T22:08:26.749Z