Identifying the ideal deep learning algorithm to quantify the threshold effect of parental smoking on child nutritional status in South Asia.
- 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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Cite this work
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
Source records
- pubmed · retrieved 2026-09-26T18:22:39.969Z