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Deep learning outperforms traditional machine learning methods in predicting childhood malnutrition: evidence from survey data
…2019. A composite malnutrition indicator was constructed by integrating stunting, wasting, and underweight status, and model performance was evaluated using ten metrics, with emphasis on F1-score and recall to account for substantial class imbalance and the high cost of failing to detect…
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Perpustakaan Kampus · 12 print titlesShow all
- Sistem Informasi Peduli Stunting Berbasis WebSahalana Wijaya Panjaitan · 2026 · UNILAK
- Implentasi Kebijakan Program Penanggulangan Stunting Kota PekanbaruWira Lasmana Rahmanto · 2023 · UNILAK