Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan 320, Taiwan.
Department of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan.
Int J Environ Res Public Health. 2017 Dec 10;14(12):1547. doi: 10.3390/ijerph14121547.
Spontaneous intracerebral hemorrhage (sICH) has a high mortality rate. Research has demonstrated that the occurrence of sICH is related to air pollution. This study used big data analysis to explore the impact of air pollution on the risk of sICH in patients of differing age and geographic location. 39,053 cases were included in this study; 14,041 in the Taipei region (Taipei City and New Taipei City), 5537 in Taoyuan City, 7654 in Taichung City, 4739 in Tainan City, and 7082 in Kaohsiung City. The results of correlation analysis indicated that there were two pollutants groups, the CO and NO₂ group and the PM and PM group. Furthermore, variations in the correlations of sICH with air pollutants were identified in different age groups. The co-factors of the influence of air pollutants in the different age groups were explored using regression analysis. This study integrated Taiwan National Health Insurance data and air pollution data to explore the risk factors of sICH using big data analytics. We found that PM and PM are very important risk factors for sICH, and age is an important modulating factor that allows air pollutants to influence the incidence of sICH.
自发性脑出血（sICH）死亡率很高。研究表明，sICH 的发生与空气污染有关。本研究使用大数据分析探讨了空气污染对不同年龄和地理位置患者发生 sICH 的风险的影响。本研究共纳入 39053 例患者；台北地区（台北市和新北市）14041 例，桃园市 5537 例，台中市 7654 例，台南市 4739 例，高雄市 7082 例。相关性分析结果表明，存在两组污染物，CO 和 NO₂组以及 PM 和 PM 组。此外，还确定了不同年龄组中 sICH 与空气污染物相关性的变化。利用回归分析探讨了不同年龄组中空气污染物影响的共同因素。本研究整合了台湾全民健康保险数据和空气污染数据，使用大数据分析探讨了 sICH 的危险因素。我们发现 PM 和 PM 是 sICH 的重要危险因素，年龄是一个重要的调节因素，使空气污染物能够影响 sICH 的发病率。
