Comment on “Integrated prediction of ceftriaxone resistance in major Salmonella serotypes using MALDI-TOF MS data with balanced datasets and machine learning”

Addanki Ramya, Shagam Geetha, Srujan Manohar

Open source

DOI
10.1016/j.ijantimicag.2026.108064
Published
2026-11
Container
International Journal of Antimicrobial Agents
Publisher
Elsevier BV
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.ijantimicag.2026.108064,
  title = {Comment on “Integrated prediction of ceftriaxone resistance in major Salmonella serotypes using MALDI-TOF MS data with balanced datasets and machine learning”},
  author = {Addanki Ramya and Shagam Geetha and Srujan Manohar},
  year = {2026},
  journal = {International Journal of Antimicrobial Agents},
  doi = {10.1016/j.ijantimicag.2026.108064},
  url = {https://doi.org/10.1016/j.ijantimicag.2026.108064}
}

RIS

TY  - JOUR
TI  - Comment on “Integrated prediction of ceftriaxone resistance in major Salmonella serotypes using MALDI-TOF MS data with balanced datasets and machine learning”
AU  - Addanki Ramya
AU  - Shagam Geetha
AU  - Srujan Manohar
PY  - 2026
JO  - International Journal of Antimicrobial Agents
DO  - 10.1016/j.ijantimicag.2026.108064
UR  - https://doi.org/10.1016/j.ijantimicag.2026.108064
ER  - 

APA

Ramya, A., Geetha, S., & Manohar, S. (2026). Comment on “Integrated prediction of ceftriaxone resistance in major Salmonella serotypes using MALDI-TOF MS data with balanced datasets and machine learning”. International Journal of Antimicrobial Agents. https://doi.org/10.1016/j.ijantimicag.2026.108064

Source records