Abstract: In recent years, the availability of data-driven analytics has become a key tool in discovery in public health and environmental science research.
Jan 28, 2019 · The experiment results show a 42% improvement in AUC over previous state-of-the-art results on the same data, which pursued a hybrid approach [6] ...
This paper's methodology of applying machine learning algorithms to health outcomes, chemical exposures, and social behavior data from expectant mothers, ...
A Hybrid Approach to Identifying Key Factors in Environmental Health Studies. S. Dong, Z. Feric, X. Li, S. Rahman, G. Li, C. Wu, A. Gu, J. Dy, D. Kaeli, ...
A Hybrid Approach to Identifying Key Factors in Environmental Health Studies. Shi Dong, Zlatan Feric, Xiangyu Li, Sheikh Mokhlesur Rahman, Guangyu Li, Chieh ...
February 1 - Applying the One Environmental Health Approach ... Identifying Health and Safety Training Approaches for Emerging Issues and High-Risk Industries.
Here, we identified four major key factors: pollution simulation resolution, subject granularity, micro-environments classification, and pollution levels.
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What factors determine environmental health?
Does environmental health address all physical chemical and biological factors external to a person and all related factors impacting behaviors
Dec 23, 2022 · Effectiveness-implementation hybrid designs are another particularly useful design for environmental health researchers developing interventions ...
This method combines percentiles of 37 different indicators by weighting them and placing them into five equal categories: environmental exposures and risks, ...
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Mar 17, 2020 · Small-area studies offer a powerful epidemiological approach to study disease patterns at the population level and assess health risks posed by environmental ...