Month: November 2018

Hybrid Data Mining Techniques for Childhood Obesity Predictions

ABSTRACT Childhood obesity has become a worrying global epidemic.   Evidences show that childhood obesity persists into adulthood.  Therefore, predicting obesity at an early age is both useful and important.  The objectives of this study are to identify significant risk factors and protective factors of childhood obesity in Malaysia; to select and propose parameters for prediction; […]

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