A review of feature selection methods for machine learning-based disease risk prediction
N Pudjihartono, T Fadason, AW Kempa-Liehr… - Frontiers in …, 2022 - frontiersin.org
Machine learning has shown utility in detecting patterns within large, unstructured, and
complex datasets. One of the promising applications of machine learning is in precision …
complex datasets. One of the promising applications of machine learning is in precision …
Statistical methodology in studies of prenatal exposure to mixtures of endocrine-disrupting chemicals: a review of existing approaches and new alternatives
Background: Prenatal exposures to endocrine-disrupting chemicals (EDCs) during critical
developmental windows have been implicated in the etiologies of a wide array of adverse …
developmental windows have been implicated in the etiologies of a wide array of adverse …
Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression
Background Estimating the health effects of multi-pollutant mixtures is of increasing interest
in environmental epidemiology. Recently, a new approach for estimating the health effects of …
in environmental epidemiology. Recently, a new approach for estimating the health effects of …
Early-life environmental exposures and childhood obesity: an exposome-wide approach
Background: Chemical and nonchemical environmental exposures are increasingly
suspected to influence the development of obesity, especially during early life, but studies …
suspected to influence the development of obesity, especially during early life, but studies …
Exposures to pesticides and risk of cancer: evaluation of recent epidemiological evidence in humans and paths forward
Abstract Knowledge of the role in cancer etiology of environmental exposures as pesticides
is a prerequisite for primary prevention. We review 63 epidemiological studies on exposure …
is a prerequisite for primary prevention. We review 63 epidemiological studies on exposure …
Multi-omics profiling approach to asthma: an evolving paradigm
Y Gautam, E Johansson, TB Mersha - Journal of personalized medicine, 2022 - mdpi.com
Asthma is a complex multifactorial and heterogeneous respiratory disease. Although
genetics is a strong risk factor of asthma, external and internal exposures and their …
genetics is a strong risk factor of asthma, external and internal exposures and their …
[HTML][HTML] The early-life exposome: description and patterns in six European countries
Abstract Characterization of the “exposome”, the set of all environmental factors that one is
exposed to from conception onwards, has been advocated to better understand the role of …
exposed to from conception onwards, has been advocated to better understand the role of …
[HTML][HTML] Machine learning approaches to characterize the obesogenic urban exposome
Background Characteristics of the urban environment may contain upstream drivers of
obesity. However, research is lacking that considers the combination of environmental …
obesity. However, research is lacking that considers the combination of environmental …
[HTML][HTML] Advancing tools for human early lifecourse exposome research and translation (ATHLETE): Project overview
M Vrijheid, X Basagaña, JR Gonzalez… - Environmental …, 2021 - journals.lww.com
Early life stages are vulnerable to environmental hazards and present important windows of
opportunity for lifelong disease prevention. This makes early life a relevant starting point for …
opportunity for lifelong disease prevention. This makes early life a relevant starting point for …
Applying the exposome concept in birth cohort research: a review of statistical approaches
The exposome represents the totality of life course environmental exposures (including
lifestyle and other non-genetic factors), from the prenatal period onwards. This holistic …
lifestyle and other non-genetic factors), from the prenatal period onwards. This holistic …