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    A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks by Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta

    Published 2025-01-01
    “…At the same time, the risk of severe undernutrition, including conditions of being underweight, stunted, and wasted (USW), increased from 1.3% to 9.4%. Conclusions The LSTM-FC model outperforms baseline methods in classifying and predicting Ethiopian children's nutritional statuses. …”
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