Machine Learning

Machine-learning algorithm to non-invasively detect diabetes and pre-diabetes from electrocardiogram

June, 2022

Abstract

Objectives 

Early detection is of crucial importance for prevention of type 2 diabetes and pre-diabetes. Diagnosis of these conditions relies on the oral glucose tolerance test and haemoglobin A1c estimation which are invasive and challenging for large-scale screening. We aimed to combine the non-invasive nature of ECG with the power of machine learning to detect diabetes and pre-diabetes.

Methods 

Pages