Wu Y - Search Results

1

Development of interpretable machine learning models associated with environmental chemicals to predict all-cause and specific-cause mortality：A longitudinal study based on NHANES.

Duan S, Wu Y, Zhu J, Wang X, Zhang Y, Gu C, Fang Y. Duan S, et al. Among authors: wu y. Ecotoxicol Environ Saf. 2024 Jan 15;270:115864. doi: 10.1016/j.ecoenv.2023.115864. Epub 2023 Dec 23. Ecotoxicol Environ Saf. 2024. PMID: 38142591 Free article.

2

Application of SCM with Bayesian B-Spline to Spatio-Temporal Analysis of Hypertension in China.

Ye Z, Xu L, Zhou Z, Wu Y, Fang Y. Ye Z, et al. Among authors: wu y. Int J Environ Res Public Health. 2018 Jan 2;15(1):55. doi: 10.3390/ijerph15010055. Int J Environ Res Public Health. 2018. PMID: 29301286 Free PMC article.

3

Spatial analysis of the effects of PM2.5 on hypertension among the middle-aged and elderly people in China.

Wu Y, Ye Z, Fang Y. Wu Y, et al. Int J Environ Health Res. 2021 Sep;31(6):729-740. doi: 10.1080/09603123.2019.1682528. Epub 2019 Oct 24. Int J Environ Health Res. 2021. PMID: 31646877

4

Spatial Characteristics of Life Expectancy and Geographical Detection of Its Influencing Factors in China.

Wu Y, Hu K, Han Y, Sheng Q, Fang Y. Wu Y, et al. Int J Environ Res Public Health. 2020 Feb 1;17(3):906. doi: 10.3390/ijerph17030906. Int J Environ Res Public Health. 2020. PMID: 32024116 Free PMC article.

5

Stroke Prediction with Machine Learning Methods among Older Chinese.

Wu Y, Fang Y. Wu Y, et al. Int J Environ Res Public Health. 2020 Mar 12;17(6):1828. doi: 10.3390/ijerph17061828. Int J Environ Res Public Health. 2020. PMID: 32178250 Free PMC article.

6

Burden of cancer and changing cancer spectrum among older adults in China: Trends and projections to 2030.

Shi Z, Lin J, Wu Y, Fu S, Wan Y, Fang Y. Shi Z, et al. Among authors: wu y. Cancer Epidemiol. 2022 Feb;76:102068. doi: 10.1016/j.canep.2021.102068. Epub 2021 Dec 2. Cancer Epidemiol. 2022. PMID: 34864577

7

Comparison of Regression and Machine Learning Methods in Depression Forecasting Among Home-Based Elderly Chinese: A Community Based Study.

Lin S, Wu Y, Fang Y. Lin S, et al. Among authors: wu y. Front Psychiatry. 2022 Jan 17;12:764806. doi: 10.3389/fpsyt.2021.764806. eCollection 2021. Front Psychiatry. 2022. PMID: 35111085 Free PMC article.

8

Prediction of depressive symptoms onset and long-term trajectories in home-based older adults using machine learning techniques.

Lin S, Wu Y, He L, Fang Y. Lin S, et al. Among authors: wu y. Aging Ment Health. 2023 Jan;27(1):8-17. doi: 10.1080/13607863.2022.2031868. Epub 2022 Feb 4. Aging Ment Health. 2023. PMID: 35118924

9

Seasonal prediction of daily PM_2.5 concentrations with interpretable machine learning: a case study of Beijing, China.

Wu Y, Lin S, Shi K, Ye Z, Fang Y. Wu Y, et al. Environ Sci Pollut Res Int. 2022 Jun;29(30):45821-45836. doi: 10.1007/s11356-022-18913-9. Epub 2022 Feb 12. Environ Sci Pollut Res Int. 2022. PMID: 35150424

10

Predicting the long-term cognitive trajectories using machine learning approaches: A Chinese nationwide longitudinal database.

Wu Y, Jia M, Xiang C, Lin S, Jiang Z, Fang Y. Wu Y, et al. Psychiatry Res. 2022 Apr;310:114434. doi: 10.1016/j.psychres.2022.114434. Epub 2022 Feb 7. Psychiatry Res. 2022. PMID: 35172247

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