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Author

Renuka Meti

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Review Open access Jul 2026

Artificial Intelligence for Malnutrition Prediction: Integrating Clinical, Socioeconomic, and Environmental Determinants for Sustainable Development

This review critically examines the application of AI approaches — including supervised ML algorithms, deep learning architectures, natural language processing (NLP), and geospatial analytics — to malnutrition prediction across diverse populations and contexts and evaluates the evidence for multi-domain data integration within predictive frameworks.

Sushmadevi J. Wodeyar, Renuka Meti · 0 citations