Intelligent risk stratification of hypertension based on ambulatory blood pressure monitoring and machine learning algorithms

• Published in: Physiological measurement Vol. 46; no. 3; pp. 35001 - 35016
• Main Authors: Deng, Muqing, Guo, Junsheng, Li, Boyan, Yang, Jingfen, Zhang, Xiaobo, Liang, Dandan, Wang, Yanjiao, Huang, Xiaoyu
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 31.03.2025
• Subjects: Adult; Aged; Algorithms; ambulatory blood pressure monitoring; Blood Pressure Monitoring, Ambulatory; Female; Humans; hypertension; Hypertension - diagnosis; Hypertension - physiopathology; Machine Learning; Male; Middle Aged; Risk Assessment - methods; risk stratification; ambulatory blood pressure monitoring; risk stratification; machine learning; hypertension

Objective . Risk stratification of hypertension plays a crucial role in the treatment decisions and medication guidance during clinical practices. Although fruitful achievements have been reported on risk stratification of hypertension, the potential use of ambulatory blood pressure monitoring data...