Identifying the ideal deep learning algorithm to quantify the threshold effect of parental smoking on child nutritional status in South Asia.

Shahid M, Song J, Ali Z, Naveed HM, Yuksel S, Dincer H

Open source

DOI
10.1186/s13690-026-01998-w
Published
2026 Jun 27
Container
Archives of public health = Archives belges de sante publique
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1186/s13690-026-01998-w,
  title = {Identifying the ideal deep learning algorithm to quantify the threshold effect of parental smoking on child nutritional status in South Asia.},
  author = {Shahid M and Song J and Ali Z and Naveed HM and Yuksel S and Dincer H},
  year = {2026},
  journal = {Archives of public health = Archives belges de sante publique},
  doi = {10.1186/s13690-026-01998-w},
  url = {https://doi.org/10.1186/s13690-026-01998-w}
}

RIS

TY  - JOUR
TI  - Identifying the ideal deep learning algorithm to quantify the threshold effect of parental smoking on child nutritional status in South Asia.
AU  - Shahid M
AU  - Song J
AU  - Ali Z
AU  - Naveed HM
AU  - Yuksel S
AU  - Dincer H
PY  - 2026
JO  - Archives of public health = Archives belges de sante publique
DO  - 10.1186/s13690-026-01998-w
UR  - https://doi.org/10.1186/s13690-026-01998-w
ER  - 

APA

M, S., J, S., Z, A., HM, N., S, Y., & H, D. (2026). Identifying the ideal deep learning algorithm to quantify the threshold effect of parental smoking on child nutritional status in South Asia.. Archives of public health = Archives belges de sante publique. https://doi.org/10.1186/s13690-026-01998-w

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