Interpretable Machine Learning for Predicting Enrofloxacin Residues in Fish Using a Large Literature-Derived Database.

Song P, Rong B, Zhou L, Jiang H, Qiu L, Che W, Fang L, Meng S, Song C

Open source

DOI
10.3390/foods15142522
Published
2026 Jul 16
Container
Foods (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/foods15142522,
  title = {Interpretable Machine Learning for Predicting Enrofloxacin Residues in Fish Using a Large Literature-Derived Database.},
  author = {Song P and Rong B and Zhou L and Jiang H and Qiu L and Che W and Fang L and Meng S and Song C},
  year = {2026},
  journal = {Foods (Basel, Switzerland)},
  doi = {10.3390/foods15142522},
  url = {https://doi.org/10.3390/foods15142522}
}

RIS

TY  - JOUR
TI  - Interpretable Machine Learning for Predicting Enrofloxacin Residues in Fish Using a Large Literature-Derived Database.
AU  - Song P
AU  - Rong B
AU  - Zhou L
AU  - Jiang H
AU  - Qiu L
AU  - Che W
AU  - Fang L
AU  - Meng S
AU  - Song C
PY  - 2026
JO  - Foods (Basel, Switzerland)
DO  - 10.3390/foods15142522
UR  - https://doi.org/10.3390/foods15142522
ER  -

APA

P, S., B, R., L, Z., H, J., L, Q., W, C., L, F., S, M., & C, S. (2026). Interpretable Machine Learning for Predicting Enrofloxacin Residues in Fish Using a Large Literature-Derived Database.. Foods (Basel, Switzerland). https://doi.org/10.3390/foods15142522

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