Beyond predictive accuracy: A case for mechanism-informed, uncertainty-aware machine learning in food microbiology.

Ezzaky Y, Yap EEL, Chen WN

DOI: 10.1016/j.isci.2026.117470
Published: 2026 Oct 16
Container: iScience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.isci.2026.117470,
  title = {Beyond predictive accuracy: A case for mechanism-informed, uncertainty-aware machine learning in food microbiology.},
  author = {Ezzaky Y and Yap EEL and Chen WN},
  year = {2026},
  journal = {iScience},
  doi = {10.1016/j.isci.2026.117470},
  url = {https://doi.org/10.1016/j.isci.2026.117470}
}

RIS

TY  - JOUR
TI  - Beyond predictive accuracy: A case for mechanism-informed, uncertainty-aware machine learning in food microbiology.
AU  - Ezzaky Y
AU  - Yap EEL
AU  - Chen WN
PY  - 2026
JO  - iScience
DO  - 10.1016/j.isci.2026.117470
UR  - https://doi.org/10.1016/j.isci.2026.117470
ER  -

APA

Y, E., EEL, Y., & WN, C. (2026). Beyond predictive accuracy: A case for mechanism-informed, uncertainty-aware machine learning in food microbiology.. iScience. https://doi.org/10.1016/j.isci.2026.117470

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pubmed · retrieved 2026-09-27T06:44:52.037Z