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First-Stage Development and Validation of a Web-Based Automated Dietary Modeling Tool: Using Constraint Optimization Techniques to Streamline Food Group and Macronutrient Focused Dietary Prescriptions for Clinical Trials.

Yasmine C ProbstEvan MorrisonEmma SullivanHoa Khanh Dam
Published in: Journal of medical Internet research (2016)
Automated modeling tools can streamline the modeling process for dietary intervention trials ensuring consistency of the background diets, although appropriate constraints must be used in their development to achieve desired results. The DMT was found to be a valid automated tool producing similar results to tools with less automation. The results of this study suggest interchangeability of the modeling approaches used, although implementation should reflect the requirements of the dietary intervention trial in which it is used.
Keyphrases
  • clinical trial
  • deep learning
  • machine learning
  • randomized controlled trial
  • high throughput
  • healthcare
  • study protocol
  • phase iii
  • weight loss
  • climate change