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IJERPH, Vol. 17, Pages 1828: Stroke Prediction with Machine Learning Methods among Older Chinese
ang Timely stroke diagnosis and intervention are necessary considering its high prevalence. Previous studies have mainly focused on stroke prediction with balanced data. Thus, this study aimed to develop machine learning models for predicting stroke with imbalanced data in an elderly population in China. Data were obtained from a prospective cohort that included 1131 participants (56 stroke patients and 1075 non-stroke participants) in 2012 and 2014, respectively. Data balancing techniques including random over-sampling (ROS), random under-sampling (RUS), and synthetic minority over-sampling technique (SMOTE) were used...
Source: International Journal of Environmental Research and Public Health - March 11, 2020 Category: Environmental Health Authors: Yafei Wu Ya Fang Tags: Article Source Type: research

Exploring the impacts of street-level greenspace on stroke and cardiovascular diseases in Chinese adults
In this study, the CVDs and stroke data of participants were retrieved from the 33 Chinese Community Health Study. We measured participants' exposure to street-level greenspace exposure using street view images and machine learning technique. Multilevel logistic regressions were applied. While controlling for confounders, we found that higher level of street-level greenspace exposure was associated with lower CVDs prevalence. However, street-level greenspace exposure was associated with stroke prevalence only for females. The associations were stronger among females, younger adults, participants with educational attainment...
Source: Ecotoxicology and Environmental Safety - August 21, 2022 Category: Environmental Health Authors: Ruoyu Wang Pengxin Dong Guoping Dong Xiang Xiao Jingwen Huang Linchuan Yang Yunjiang Yu Guang-Hui Dong Source Type: research

Associations between short-term ambient ozone exposure and cause-specific mortality in rural and urban areas of Jiangsu, China
Environ Res. 2022 Mar 11:113098. doi: 10.1016/j.envres.2022.113098. Online ahead of print.ABSTRACTMost previous studies on the acute health effects of ozone are limited to urban areas, largely due to the paucity of air pollutant measurements in rural areas. We here estimated the county-specific daily maximum 8-h average ozone concentration in Jiangsu Province, China during 2015-2018, using a recently developed spatiotemporal machine learning model at a spatial resolution of 0.1° × 0.1° (∼11 × 11 km). Counties were equally divided into urban and rural groups based on the median of the percentage of urban residents acr...
Source: Environmental Research - March 15, 2022 Category: Environmental Health Authors: Chengyi Lin Yiqun Ma Riyang Liu Yanchuan Shao Zongwei Ma Lian Zhou Yuanshu Jing Michelle L Bell Kai Chen Source Type: research