Predicting risk of obesity and meal planning to reduce the obese in adulthood using artificial intelligence.

Rajdeep KaurRakesh KumarMeenu Gupta

Published in: Endocrine (2022)

This method predicts the meal which includes breakfast, morning snacks, lunch, evening snacks, and dinner for the individual as per caloric and macronutrient requirements. The proposed research work can be used by practitioners to check obesity levels and to suggest meals to reduce the obese in adulthood.

Keyphrases

artificial intelligence
weight loss
metabolic syndrome
type diabetes
insulin resistance
bariatric surgery
machine learning
adipose tissue
big data
deep learning
depressive symptoms
high fat diet induced
weight gain
primary care
early life
general practice
physical activity