Results 61 to 70 of about 5,107,449 (167)

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

Exploring the association between two groups of metals with potentially opposing renal effects and renal function in middle-aged and older adults: Evidence from an explainable machine learning method

Ecotoxicology and Environmental Safety
Background: Machine learning models have promising applications in capturing the complex relationship between mixtures of exposures and outcomes.
Haoran Chen, Min Wang, Jiao Li
doaj   +1 more source

Advanced Characterization of Associations Between VOC Exposure, Immune Markers, and Cardio‐Oncologic Multimorbidity Using 13 Machine‐Learning Models: Insights From NHANES 2011–2020

Indoor Air, Volume 2026, Issue 1, 2026.
Background Volatile organic compounds (VOCs) are common air pollutants, but their association with the coexistence of cardiovascular disease and cancer, termed cardio‐oncologic multimorbidity (COM), remains poorly understood. Methods We analyzed 29,604 US adults from NHANES 2011–2020 and evaluated 16 urinary VOC metabolites using complementary survey ...
Yuhan Tang, Yingze Zhu, Wenjing Xiong, Yingcui Chen, Shaochun Liu, Xiaoxi Han, Qiyuan Shi, Wenjie Ma, Han Zhang, Zhiqi Sui, Hui Pang, Wenhui Zhao, Kalyani Sen   +12 more
wiley   +1 more source

Linking the metals to metabolism in recurrent pregnancy loss through untargeted metabolomics and machine learning

Frontiers in Endocrinology
BackgroundThe association between recurrent pregnancy loss (RPL) and environmental exposure has attracted increasing attention. However, associations between RPL and metal exposure in northwestern China remained unclear.MethodsThis case-control study ...
Cai Liu, Ling Liu, Bingqing Ran, Yuejuan Wu, Fang Wang   +4 more
doaj   +1 more source

Impact of Volatile Organic Compound Mixtures on Cardiovascular Health in Adults With Metabolic Dysfunction–Associated Fatty Liver Disease: A US Population Study

Indoor Air, Volume 2026, Issue 1, 2026.
Background Metabolic dysfunction–associated fatty liver disease (MAFLD) is among the most prevalent chronic liver diseases worldwide, whereas cardiovascular disease remains the primary cause of mortality in this population. Volatile organic compounds (VOCs), ubiquitous in the environment, have been linked to adverse cardiovascular outcomes; however ...
Qingping Wu, Meiling Jin, Shan Liu, Yue Wu, Tarek Alshaal   +4 more
wiley   +1 more source

A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation. [PDF]

Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. It is generally accepted that the performance of a kernel regression estimator largely depends on the choice of ...
Robert D. Brooks, Maxwell L. King, Xibin Zhang   +2 more
core  

Association between plasma metal element profiles and cognitive impairment in occupationally aluminum-exposed workers at a large aluminum plant in northern China

The Journal of Prevention of Alzheimer's Disease
This study explored the association between plasma levels of multiple metals and cognitive impairment (CI) in 455 aluminum electrolysis workers from a northern Chinese plant, divided into CI (256) and control (199) groups by MoCA scores.
Xin Guo, Fangyu Gao, Mujia Li, Baolong Pan, Feng Gao, Shanshan Wang, Jingsi Zhang, Xiaoting Lu, Jing Song, Linping Wang, Huifang Zhang, Qiao Niu   +11 more
doaj   +1 more source

Urinary Polycyclic Aromatic Hydrocarbons and Advanced Cardiovascular‐Kidney‐Metabolic Syndrome: Inflammatory‐Nutritional Pathways as Mediators

Mediators of Inflammation, Volume 2026, Issue 1, 2026.
Background Polycyclic aromatic hydrocarbons (PAHs) are widespread environmental pollutants linked to adverse health outcomes. Their role in the different statuses of Cardiovascular‐Kidney‐Metabolic (CKM) syndrome remains poorly understood. Methods A cross‐sectional analysis of 11,043 participants was conducted using data from NHANES. Urinary PAH levels
Yifeng Huang, Youxia Zhao, Qizhang Man, Song Liu, Ying Yang, Jinfeng Wen, Lei Fan, Hao Xie, Keyun Zhang, Jing Wang, Fumio Tsuji   +10 more
wiley   +1 more source

Collapsible Kernel Machine Regression for Exposomic Analyses [PDF]

An important goal of environmental epidemiology is to quantify the complex health risks posed by a wide array of environmental exposures. In analyses focusing on a smaller number of exposures within a mixture, flexible models like Bayesian kernel machine
McGee, Glen, Wilson, Ander, Coull, Brent A.   +2 more
core  

Health Effects of Air Pollutant Mixtures on Overall Mortality Among the Elderly Population Using Bayesian Kernel Machine Regression (BKMR)

ISEE Conference Abstracts, 2021
Haomin Li, Wenying Deng, Raphael Small, Jeremiah Liu, Liuhua Shi   +4 more
openaire   +1 more source