Machine Learning and Deep Learning Techniques Applied to Diabetes Research: A Bibliometric Analysis.
- DOI
- 10.1177/19322968231215350
- Published
- 2024 Mar
- Container
- Journal of diabetes science and technology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1177/19322968231215350,
title = {Machine Learning and Deep Learning Techniques Applied to Diabetes Research: A Bibliometric Analysis.},
author = {García-Jaramillo M and Luque C and León-Vargas F},
year = {2024},
journal = {Journal of diabetes science and technology},
doi = {10.1177/19322968231215350},
url = {https://doi.org/10.1177/19322968231215350}
}RIS
TY - JOUR TI - Machine Learning and Deep Learning Techniques Applied to Diabetes Research: A Bibliometric Analysis. AU - García-Jaramillo M AU - Luque C AU - León-Vargas F PY - 2024 JO - Journal of diabetes science and technology DO - 10.1177/19322968231215350 UR - https://doi.org/10.1177/19322968231215350 ER -
APA
M, G., C, L., & F, L. (2024). Machine Learning and Deep Learning Techniques Applied to Diabetes Research: A Bibliometric Analysis.. Journal of diabetes science and technology. https://doi.org/10.1177/19322968231215350
Source records
- pubmed · retrieved 2026-09-25T16:52:16.038Z