Machine learning applied to ambulatory blood pressure monitoring: a new tool to diagnose autonomic failure?

Fabrizio VallelongaG SobreroA MerolaM ValenteM GiudiciC Di StefanoV MilazzoJ BurrelloA BurrelloF VeglioA RomagnoloS Maule

Published in: Journal of neurology (2022)

LDA model based on 24-h ABPM parameters can effectively predict AF, allowing greater accessibility to an accurate and easy to administer test for AF. Potential applications range from systematic AF screening to monitoring and treating blood pressure dysregulation caused by PD and other neurodegenerative disorders.

Keyphrases

blood pressure
atrial fibrillation
heart rate
machine learning
hypertensive patients
heart rate variability
artificial intelligence
high resolution
adipose tissue
type diabetes
big data
risk assessment
skeletal muscle
insulin resistance
weight loss