首页> 外文会议>Engineering applications of neural networks >Investigation of Medication Dosage Influences from Biological Weather
【24h】

Investigation of Medication Dosage Influences from Biological Weather

机译:生物剂量对药物剂量影响的调查

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Airborne pollen has been associated with allergic symptoms in sensitized individuals, whereas atmospheric pollution indisputably aggravates the impact on the overall quality of life. Therefore, it is of major importance to correlate, forecast and disseminate information concerning high concentration levels of allergic pollen types and air pollutants to the public, in order to safeguard the quality of life of the population. In this study, we investigate the relationship between the Defined Daily Dose (DDD) given to patients in a triggered allergy reaction and the different levels of air pollutants and pollen types. By profiling specific atmospheric conditions, specialists may define the need for medication to individuals suffering from pollen allergy, not only according to their personal medical record but also to the existing air quality observations. Paper results indicate some interesting interrelationships between the use of medication and atmospheric quality conditions and shows that the forecasting of daily medication is possible with the aid of proper algorithms.
机译:空气中的花粉与敏感人群的过敏症状有关,而大气污染无疑会加剧对整体生活质量的影响。因此,对于公众来说,关联,预测和传播有关过敏花粉类型和空气污染物的高浓度水平的信息具有重要意义,以维护人口的生活质量。在这项研究中,我们调查了在触发的过敏反应中给予患者的每日定义剂量(DDD)与不同水平的空气污染物和花粉类型之间的关系。通过分析特定的大气条件,专家们不仅可以根据其个人病历,还可以根据现有的空气质量观察结果,来确定对花粉过敏者的药物需求。论文结果表明药物使用与大气质量状况之间存在一些有趣的相互关系,并表明借助适当的算法可以预测每日药物。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号