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

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Publication Details

Journal
Archives of Public Health
Published
2026-06-27
DOI
https://doi.org/10.1186/s13690-026-01998-w
Primary Topic
Child Nutrition and Water Access
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Hafiz Muhammad Naveed, Zaiba Ali, Serhat Yuksel, Muhammad Shahid et al.
Archives of Public Health
Child Nutrition and Water Access
article

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

Hafiz Muhammad Naveed, Zaiba Ali, Serhat Yuksel, Muhammad Shahid, Jiayi Song, Hasan Dincer
article en

Abstract

No abstract available for this paper.
Archives of Public Health
Princess Nourah bint Abdulrahman University (SA), Shenzhen University (CN), McGill University Health Centre (CA), Istanbul Medipol University (TR), Shenzhen Technology University (CN), McGill University (CA), Shandong University of Finance and Economics (CN)
Zero hunger
Openalex Percentile: Top 8%
Child Nutrition and Water Access
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