Prediction of cardiac autonomic neuropathy using a machine learning model in patients with diabetes.

Ahmad Shaker AbdalradaJemal AbawajyTahsien Al-QuraishiSheikh Mohammed Shariful Islam

Published in: Therapeutic advances in endocrinology and metabolism (2022)

Our ML model has the potential to detect CAN at an early stage using Ewing's tests. This model might be useful for healthcare providers for predicting the occurrence of CAN in patients with diabetes, monitoring the progression, and providing timely intervention.

Keyphrases

early stage
healthcare
machine learning
risk assessment
artificial intelligence
heart rate variability
radiation therapy
deep learning
lymph node
big data
social media
affordable care act