Bayesian Optimization of Personalized Models for Patient Vital-Sign Monitoring.
IEEE Journal of Biomedical and Health Informatics(2018)
摘要
Gaussian process regression (GPR) provides a means to generate flexible personalized models of time series of patient vital signs. These models can perform useful clinical inference in ways that population-based models cannot. A challenge for the use of personalized models is that they must be amenable to a wide range of parameterizations, to accommodate the plausible physiology of any patient in ...
更多查看译文
关键词
Robustness,Data models,Monitoring,Predictive models,Biomedical measurement,Current measurement,Optimization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络