Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach.

Alam MM, Khan AI, Zafar A, Sohail M, Ahmad MT, Azim R

DOI: 10.1002/brb3.70548
Published: 2025 May
Container: Brain and behavior
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/brb3.70548,
  title = {Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach.},
  author = {Alam MM and Khan AI and Zafar A and Sohail M and Ahmad MT and Azim R},
  year = {2025},
  journal = {Brain and behavior},
  doi = {10.1002/brb3.70548},
  url = {https://doi.org/10.1002/brb3.70548}
}

RIS

TY  - JOUR
TI  - Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach.
AU  - Alam MM
AU  - Khan AI
AU  - Zafar A
AU  - Sohail M
AU  - Ahmad MT
AU  - Azim R
PY  - 2025
JO  - Brain and behavior
DO  - 10.1002/brb3.70548
UR  - https://doi.org/10.1002/brb3.70548
ER  -

APA

MM, A., AI, K., A, Z., M, S., MT, A., & R, A. (2025). Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach.. Brain and behavior. https://doi.org/10.1002/brb3.70548

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pubmed · retrieved 2026-09-26T15:38:58.933Z