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Rich sources of obesity‐related data arising from sensors, smartphone apps, electronic medical health records and insurance data can bring new insights for understanding, preventing and treating obesity. For such large datasets, machine learning provides sophisticated and elegant tools to describe, classify and predict obesity‐related risks and outcomes.
Here, we review machine learning methods that...
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