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A hybrid AI model integrating XGBoost, LSTM, and SHAP for predicting and interpreting childhood malnutrition trends

Year: 2025

Type: article

Source: Intelligent Decision Technologies

DOI: 10.1177/18724981251399860

Author: Xinming Zhang

Institution: Cangzhou Preschool Teachers College

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDGs: Good health and well-being, Zero hunger

Open Access status: closed

OpenAlex ID: W4416926541

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Cites: 43

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