Creating a long-term future for big data in obesity research.
Mark BirkinEmma WilkinsMichelle A MorrisPublished in: International journal of obesity (2005) (2019)
Big data are part of the future in obesity research. The ESRC funded Strategic Network for Obesity has together generated a series of papers, published in the International Journal for Obesity illustrating various aspects of their utility, in particular relating to the large social and environmental drivers of obesity. This article is the final part of the series and reflects upon progress to date and identifies four areas that require attention to promote the continued role of big data in research. We additionally include a 'getting started with big data' checklist to encourage more obesity researchers to engage with alternative data resources.
Keyphrases
- big data
- artificial intelligence
- insulin resistance
- machine learning
- metabolic syndrome
- weight loss
- high fat diet induced
- type diabetes
- weight gain
- adipose tissue
- mental health
- deep learning
- healthcare
- randomized controlled trial
- electronic health record
- systematic review
- gene expression
- risk assessment
- physical activity
- current status
- climate change