Prediction of child nutritional status using deep neural networks: A cross-sectional study of Egypt DHS data (2005–2014)
- DOI
- 10.1097/md.0000000000046089
- Published
- 2025-11-21
- Container
- Medicine
- Publisher
- Ovid Technologies (Wolters Kluwer Health)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1097/md.0000000000046089,
title = {Prediction of child nutritional status using deep neural networks: A cross-sectional study of Egypt DHS data (2005–2014)},
author = {Abdelaziz Hendy and Rasha Kadri Ibrahim and Sally Mohammed Farghaly Abdelaliem and Hosny Maher Sultan and Shaban Majed Sinnokrot and Mohammad Al-Ma’ani and Badriah Alzahrani and Waad Hasan Ali and Afrah Madyan Alshammari and Ahmed Hendy},
year = {2025},
journal = {Medicine},
doi = {10.1097/md.0000000000046089},
url = {https://doi.org/10.1097/md.0000000000046089}
}RIS
TY - JOUR TI - Prediction of child nutritional status using deep neural networks: A cross-sectional study of Egypt DHS data (2005–2014) AU - Abdelaziz Hendy AU - Rasha Kadri Ibrahim AU - Sally Mohammed Farghaly Abdelaliem AU - Hosny Maher Sultan AU - Shaban Majed Sinnokrot AU - Mohammad Al-Ma’ani AU - Badriah Alzahrani AU - Waad Hasan Ali AU - Afrah Madyan Alshammari AU - Ahmed Hendy PY - 2025 JO - Medicine DO - 10.1097/md.0000000000046089 UR - https://doi.org/10.1097/md.0000000000046089 ER -
APA
Hendy, A., Ibrahim, R. K., Abdelaliem, S. M. F., Sultan, H. M., Sinnokrot, S. M., Al-Ma’ani, M., Alzahrani, B., Ali, W. H., Alshammari, A. M., & Hendy, A. (2025). Prediction of child nutritional status using deep neural networks: A cross-sectional study of Egypt DHS data (2005–2014). Medicine. https://doi.org/10.1097/md.0000000000046089
Source records
- crossref · retrieved 2026-09-26T18:55:15.204Z