首页|Researchers at University of Trento Have Reported New Data on Machine Learning ( Personalized Nutrition and Machine-learning: Exploring the Scope of Continuous G lucose Monitoring In Healthy Individuals In Uncontrolled Settings)
Researchers at University of Trento Have Reported New Data on Machine Learning ( Personalized Nutrition and Machine-learning: Exploring the Scope of Continuous G lucose Monitoring In Healthy Individuals In Uncontrolled Settings)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting out of Trento, Italy, by NewsRx ed itors, research stated, “Machine-learning models, when combined with continuous glucose monitoring (CGM), can help effectively analyze extensive datasets of gly cemic responses to food. A total of 3,296 90-minute-long CGM meal responses from 927 healthy individuals were used to train/test a machine-learning model (XGBRe gressor).”
TrentoItalyEuropeCyborgsDiet and NutritionEmerging TechnologiesHealth and MedicineMachine LearningUniversity of Trento
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