Age-specific risk factors for the prediction of obesity using a machine learning approach

HIGHLIGHTS

• who: Junhwi Jeon from the IMDEA Food Institute, Spain Department of Applied, Kyung Hee, Yongin, Department of have published the research work: Age-specific risk factors for the prediction of obesity using a machine learning approach, in the Journal: (JOURNAL)
• what: The authors aimed to identify the metabolic factors affecting BMI or obesity in the KNHANES datasets, and to predict obesity using various machine_learning algorithms.
• how: The authors examined the results of previous studies that predicted obesity by applying various classifiers of machine_learning to various factors involved in adult obesity and compare and . . .
  

   

  

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