Predicting stunting status among under-5 children in Rwanda using neural network model: Evidence from 2020 Rwanda demographic and health survey [version 2; peer review: 1 approved, 2 approved with reservations]
Background Stunting is a serious public health concern in Rwanda, affecting around 33.3% of children under five in 2020. The researchers have employed machine learning algorithms to predict stunting in Rwanda; however, few studies used ANNs, despite their strong capacity to predict stunting. The pur...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2025-01-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | https://f1000research.com/articles/13-128/v2 |