A Machine Learning Approach to Predict the Added Sugar Content of Packaged Foods.

Tazman DaviesJimmy Chun Yu Louie Rhoda N NdanukoSebastiano BarbieriOscar Perez-ConchaJason H Y Wu

Published in: The Journal of nutrition (2021)

KNN can be used to predict added sugar content in packaged products with a high degree of validity. Being automated, KNN can easily be applied to large datasets. Such predicted added sugar levels can be used to monitor the food supply and inform interventions aimed at reducing added sugar intake.

Keyphrases

machine learning
deep learning
physical activity
weight gain
rna seq
climate change