Modelling the impact of dietary diversity on child nutrition in Pakistan: a machine learning analysis with Shapley Additive exPlanations and Boruta interpretability.
- DOI
- 10.7189/jogh.16.04182
- Published
- 2026 Jun 11
- Container
- Journal of global health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.7189/jogh.16.04182,
title = {Modelling the impact of dietary diversity on child nutrition in Pakistan: a machine learning analysis with Shapley Additive exPlanations and Boruta interpretability.},
author = {Shahid M and Song J and Yahya MA and Dincer H and Yuksel S and Naveed HM and Ali M},
year = {2026},
journal = {Journal of global health},
doi = {10.7189/jogh.16.04182},
url = {https://doi.org/10.7189/jogh.16.04182}
}RIS
TY - JOUR TI - Modelling the impact of dietary diversity on child nutrition in Pakistan: a machine learning analysis with Shapley Additive exPlanations and Boruta interpretability. AU - Shahid M AU - Song J AU - Yahya MA AU - Dincer H AU - Yuksel S AU - Naveed HM AU - Ali M PY - 2026 JO - Journal of global health DO - 10.7189/jogh.16.04182 UR - https://doi.org/10.7189/jogh.16.04182 ER -
APA
M, S., J, S., MA, Y., H, D., S, Y., HM, N., & M, A. (2026). Modelling the impact of dietary diversity on child nutrition in Pakistan: a machine learning analysis with Shapley Additive exPlanations and Boruta interpretability.. Journal of global health. https://doi.org/10.7189/jogh.16.04182
Source records
- pubmed · retrieved 2026-09-25T21:33:20.272Z