Results 91 to 100 of about 5,107,449 (167)

An exploratory study on the association of multiple metals in serum with preeclampsia

Frontiers in Public Health
BackgroundIndividual metal levels are potential risk factors for the development of preeclampsia (PE). However, understanding of relationship between multiple metals and PE remains elusive.PurposeThe purpose of this study was to explore whether eight ...
Jie He, Yudong Pu, Yue Du, Haixia Liu, Xiaoxue Wang, Shuzhen He, Shiwei Ai, Yuhui Dang   +7 more
doaj   +1 more source

kernlab - An S4 Package for Kernel Methods in R [PDF]

kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 ob ject model and provides a framework for creating and using kernel-based algorithms. The package contains dot product primitives (kernels),
Kurt Hornik, Alexandros Smola, Achim Zeileis, Alexandros Karatzoglou   +3 more
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Copper-driven risk of coronary artery calcification: Multi-metal mixture analysis and threshold identification

Ecotoxicology and Environmental Safety
Background: The relationship between metal exposure and coronary artery calcification (CAC) remains limited with inconsistent conclusions. Methods: In this case-control study conducted at Aerospace Wuxi Health Management Centre, blood metal ...
Shitao He, Yafang Jing, Wenming Han, Jiaming Xu   +3 more
doaj   +1 more source

Association Between Heavy Metal Exposure and Central Nervous System Tumors: A Case-Control Study Using Single and Multi-Metal Models

Toxics
(1) Background: Neoplasms of the central nervous system (CNS) encompass a cluster of malignant diseases originating from tissues or structures within the CNS. Environmental factors, including heavy metals, may contribute to their development.
Sen Luo, Haixia Wu, Fang Xiao, Tianwen Yang, Wei Wang, Hang Du, Peng Su   +6 more
doaj   +1 more source

The association between exposure to polycyclic aromatic hydrocarbons and the risk of premature rupture of membranes

Ecotoxicology and Environmental Safety
Background: Premature rupture of membranes (PROM) remains a significant clinical challenge. It has substantial socioeconomic impacts. Despite the known toxicity of polycyclic aromatic hydrocarbons (PAH), there is limited epidemiological evidence on their
Kui Xie, Haixia Tian, Xinyi Xiao, Linfei Wu, Cheng Chen, Shimin Xiong, Lulu Dai, Xingyan Liu, Rong Zeng, Yan Xie, Yijun Liu, Xubo Shen, Zuqiang Wu, Yuanzhong Zhou   +13 more
doaj   +1 more source

A sparse kernel density estimation algorithm using forward constrained regression

, 2007
Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The leave-one-out (LOO) test score is used for kernel selection.
Hong, X., Harris, C., Harris, C.J., Chen, S.   +3 more
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Associations between multiple metals exposure and bone mineral density: a population-based study in U.S. children and adolescents

BMC Musculoskeletal Disorders
Aim This study examined the correlation between multi-metal exposure and bone mineral density (BMD) in U.S. children and adolescents. Methods Data from 1,591 participants (aged 8–19) were analyzed using the National Health and Nutrition Examination ...
Jian Han, Jiaqing Sun, Lin Yuan, Luyao Lou, Xiaofeng Jiang   +4 more
doaj   +1 more source

Beyond multi-class – structured learning for machine translation

, 2010
In this thesis, we explore and present machine learning (ML) approaches to a particularly challenging research area – machine translation (MT). The study aims at replacing or developing each component in the MT system with an appropriate discriminative ...
Ni, Y, Ni, Yizhao
core   +1 more source

Relationship between mixed exposure to phenyl hydroxides, polycyclic aromatic hydrocarbons, and phthalates and the risk of arthritis

BMC Public Health
Background To determine the relationship between mixed exposure to three types of endocrine-disrupting chemicals (EDCs), namely phenyl hydroxides, polycyclic aromatic hydrocarbons (PAHs), and phthalates (PAEs), and risk of arthritis. Methods Participants
Qingsong Fu, Xinhua Yuan
doaj   +1 more source

On robustness properties of convex risk minimization methods for pattern recognition [PDF]

The paper brings together methods from two disciplines: machine learning theory and robust statistics. Robustness properties of machine learning methods based on convex risk minimization are investigated for the problem of pattern recognition ...
Christmann, Andreas, Steinwart, Ingo
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