Building a model for predicting metabolic syndrome using artificial intelligence based on an investigation of whole-genome sequencing.

Nai-Wei HsuKai-Chen ChouYu-Ting Tina WangChung-Lieh HungChien-Feng KuoShin-Yi Tsai

Published in: Journal of translational medicine (2022)

Circadian gene defect may also contribute to metabolic syndrome. Our study found several related genes and building a simple model to predict metabolic syndrome.

Keyphrases

metabolic syndrome
artificial intelligence
insulin resistance
machine learning
uric acid
big data
deep learning
cardiovascular risk factors
type diabetes
copy number
adipose tissue
gene expression
genome wide identification