Prediction model of obstructive sleep apnea–related hypertension: Machine learning–based development and interpretation study

Prediction model of obstructive sleep apnea–related hypertension: Machine learning–based development and interpretation study

BackgroundObstructive sleep apnea (OSA) is a globally prevalent disease closely associated with hypertension. To date, no predictive model for OSA-related hypertension has been established. We aimed to use machine learning (ML) to construct a model to analyze risk factors and predict OSA-related hyp...

Full description

Bibliographic Details
Main Authors: Yewen Shi, Lina Ma, Xi Chen, Wenle Li, Yani Feng, Yitong Zhang, Zine Cao, Yuqi Yuan, Yushan Xie, Haiqin Liu, Libo Yin, Changying Zhao, Shinan Wu, Xiaoyong Ren
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
obstructive sleep apnea
hypertension
machine learning
risk factor
Shapley additive explanations
gradient boosting machine (GBM)
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.1042996/full

Similar Items

Similar Items