Results 61 to 70 of about 5,004,642 (164)

Integration of Immunometabolic Composite Indices and Machine Learning for Diabetic Retinopathy Risk Stratification: Insights from NHANES 2011 – 2020

Ophthalmology Science
Objective: This study aimed to investigate the association between immunometabolic composite indices and diabetic retinopathy (DR) and to develop predictive models using machine learning (ML) techniques to improve early detection and risk stratification ...
Cui Xuehao, MD, PhD, Wen Dejia, MD, Li Xiaorong, PhD   +2 more
doaj   +1 more source

Bayesian Varying Coefficient Kernel Machine Regression to Assess Cognitive Trajectories Associated with Exposure to Complex Mixtures

ISEE Conference Abstracts, 2018
Background/Aim: Exposure to heavy metal mixtures during early life may exert wide-ranging effects on children's neurodevelopment and cognitive growth trajectories.
Shelley H. Liu, Jennifer F. Bobb, Birgit Claus Henn, Lourdes Schnaas, Martha Tellez-Rojo, David Bellinger, Manish Arora, Robert O. Wright, Brent A. Coull   +8 more
openaire   +1 more source

Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting

IEEE Access
Accurate forecasting of agricultural commodity prices is critical for economic stability and strategic decision-making, yet remains challenging owing to nonlinear dynamics and multifactorial volatility. This study addresses the forecasting of soybean oil
Hui-Dong Yin, Yi-Yang Li
doaj   +1 more source

Nutrient-toxic element mixtures and the early postnatal gut microbiome in a United States longitudinal birth cohort

Environment International, 2020
Background: The infant microbiome contributes to health status across the lifespan, but environmental factors affecting microbial communities are poorly understood, particularly when toxic and essential elements interact.
Hannah E. Laue, Yuka Moroishi, Brian P. Jackson, Thomas J. Palys, Juliette C. Madan, Margaret R. Karagas   +5 more
doaj   +1 more source

Association of Blood Copper With the Subclinical Carotid Atherosclerosis: An Observational Study

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Background Copper exposure is reported to be associated with increased risk of stroke. However, the association of copper exposure with subclinical carotid atherosclerosis remains unclear. Methods and Results This observational study included consecutive
Denglu Zhou, Qi Mao, Yapei Sun, Hao Cheng, Jianhua Zhao, Qingsong Liu, Mengyang Deng, Shangcheng Xu, Xiaohui Zhao   +8 more
doaj   +1 more source

Bayesian kernel machine regression for heteroscedastic health outcome data

The field of environmental epidemiology has placed an increasing emphasis on understanding the health effects of mixtures of metals, chemicals, and pollutants in recent years. Bayesian Kernel Machine Regression (BKMR) is a statistical method that has gained significant traction in environmental mixture studies due to its ability to account for complex ...
Smith, Melissa J., Buker, Ihsan E., Zierold, Kristina M., Sears, Lonnie, Newsom, Cassandra, Zijlmans, Wilco, Lichtveld, Maureen, Wickliffe, Jeffrey K.   +7 more
openaire   +2 more sources

Sparse kernel modelling: a unified approach

, 2007
A unified approach is proposed for sparse kernel data modelling that includes regression and classification as well as probability density function estimation. The orthogonal-least-squares forward selection method based on the leave-one-out test criteria
Hong, X., Harris, C.J., Chen, S.
core   +1 more source

Orthogonal-least-squares regression: A unified approach for data modelling

, 2008
A unified approach is proposed for data modelling that includes supervised regression and classification applications as well as unsupervised probability density function estimation. The orthogonal-least-squares regression based on the leave-one-out test
Harris, C. J., X. Hong, B.L. Luk, Chen, Sheng, C.J. Harris, Chen, S., Luk, Bing L., Hong, Xia, B. L. Luk, S. Chen, Luk, B. L., Hong, X., C. J. Harris, Harris, Chris   +13 more
core   +1 more source

U-shaped association between dietary flavonoid and gallstone prevalence with sex-specific effects: Insights from a cross-sectional study

Journal of International Medical Research
Objective To examine the association between dietary flavonoid intake and gallstone prevalence in a representative United States sample using National Health and Nutrition Examination Survey 2017–2018 data.
Jiaying Lin, Xin Lin, Yuquan Chen, Lihang Yang, Xiaoyan Xiu   +4 more
doaj   +1 more source

Joint exposure to multiple air pollutants and residual cardiovascular risk in hypertension

Ecotoxicology and Environmental Safety
Background: Despite the widespread availability of antihypertensive medications, residual cardiovascular risk of hypertension remained high. Limited studies have investigated the link between air pollution, particularly joint exposure to multiple air ...
Yalan Li, Wei Hong, Jingjing Wu, Jie Wang, Shiqi Liu, Hong Yuan, Jingjing Cai, Rujia Miao, Jiangang Wang, Yao Lu   +9 more
doaj   +1 more source