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A novel electronic health record-based, machine-learning model to predict severe hypoglycemia leading to hospitalizations in older adults with diabetes: A territory-wide cohort and modeling study

Using nearly 1.5 million health records from >350,000 older adults with diabetes in Hong Kong, Elaine Chow and colleagues investigate a novel machine learning model to predict risk of severe hypoglycaemia.
Hong Kong University Of Hong Kong Hong Kong General United States Astra Zeneca Merck Serono
Source: plos.org

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Associations between trajectories of obesity prevalence in English primary school children and the UK soft drinks industry levy: An interrupted time series analysis of surveillance data

Nina T Rogers and colleagues investigate changes in the levels of obesity in children aged 4-5 years and 10-11 years, 19 months after the implementation of UK soft drinks industry levy.
United States United Kingdom Barrym Popkin National Child Measurement Programme Carolina Population Center World Health Organization
Source: plos.org

Associations between trajectories of obesity prevalence in English primary school children and the UK soft drinks industry levy: An interrupted time series analysis of surveillance data

Nina T Rogers and colleagues investigate changes in the levels of obesity in children aged 4-5 years and 10-11 years, 19 months after the implementation of UK soft drinks industry levy.
United States United Kingdom Barrym Popkin National Child Measurement Programme Carolina Population Center World Health Organization
Source: plos.org

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