• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE EMBS International Conference on Biomedical and Health Informatics >On the Statistical Differences in the Pharmacological Treatment of COVID-19 Patients
【24h】

On the Statistical Differences in the Pharmacological Treatment of COVID-19 Patients

机译：关于Covid-19患者药理治疗的统计差异

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

To date there is still no effective treatment for the COVID-19 disease. The lack of knowledge about the disease caused that, especially during the first period of the pandemic, the drug administration was not oriented by well-founded scientific criteria. This paper analyzes the differences in the pharmacological administration for treating COVID-19 patients admitted in the Hospital Universitario del Sureste, located in the region of Madrid, Spain. In particular, we take into consideration the health status evolution of the patient and their chronic conditions. The study considered two kinds of patients, those with favourable and unfavourable evolution while they were admitted to the hospital. Unfavourable evolution included patients with exitus, admitted in the intensive care unit or those administered with high-flow oxygen. First, we performed a statistical test based on confidence intervals of the difference in each proportion of drug administration for both groups of patients, also considering the clinical condition of the patient. Differences in the drug administration could be a consequence of the patient health status. Next, were created interpretable models, both linear (logistic regressor) and non-linear (decision tree) to predict the patient health status evolution. The most relevant variables were identified, showing a clear difference in the drug administration during different periods of the pandemic.
机译：迄今为止，Covid-19疾病仍然没有有效的治疗方法。缺乏对疾病的知识，尤其是在大流行的第一个时期，药物管理局未被创立的科学标准导致。本文分析了西班牙马德里地区德尔赫斯特岛医院德尔赫斯特岛治疗Covid-19患者药理给药的差异。特别是，我们考虑了患者的健康状况和慢性病。该研究被认为是两种患者，那些具有良好和不利演变的患者，同时他们被入学到医院。不利的进化包括患有Exitus的患者，在重症监护病房或用高流量氧气施用的患者中占用。首先，我们基于两组患者的药物管理局部差异的置信区间进行了统计测试，同时考虑了患者的临床状况。药物管理局的差异可能是患者健康状况的结果。接下来，创建可解释的模型，线性（逻辑回归）和非线性（决策树），以预测患者健康状态演进。鉴定了最相关的变量，显示出在大流行时期的药物管理中的明显差异。

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