Article
Integrating phenotypic information of obstructive sleep apnea and deep representation of sleep-event sequences for cardiovascular risk prediction.
BMC medical informatics and decision making - 16 Mar 2026
Zheng Yali, Song Zhengbi, Cheng Bo, Peng Xiao, Huang Yu, Liu Qing, Min Min
Abstract excerpt
BACKGROUND: Advances in wearable and machine learning technologies have opened new possibilities for predicting cardiovascular (CV) risk. Moreover, the association between obstructive sleep apnea (OSA) and CV risk has been well recognized. However, how to integrate such information effectively to...
Topics
- Humans
- Sleep Apnea, Obstructive
- Cardiovascular Diseases
- Phenotype
- Middle Aged
- Female
- Aged
- Male
- Deep Learning
- Aged, 80 and over
- Polysomnography
- Risk Assessment
- Heart Disease Risk Factors
- Predictive Learning Models
- Sleep