网页应用程序用于根据covid-19预测重症监护病房住院情况
Greici Capellari Fabrizzio1, Alacoque Lorenzini Erdmann1, Lincoln Moura de Oliveira2
1Universidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brazil.
Revista brasileira de enfermagem
|December 6, 2023
概括
一个新的Web应用程序使用预测模型来估计COVID-19患者的重症监护室 (ICU) 入院风险. 这个工具帮助医疗保健专业人员在临床决策中.
科学领域:
- * 医疗信息学 医疗信息学
- * 临床决策支持系统
- * 预测建模 * 预测建模
背景情况:
- *COVID-19对重症监护室 (ICU) 的入院构成重大风险.
- *准确的风险分层对于最佳的患者管理和资源分配至关重要.
- *现有的工具可能无法充分利用实时数据进行动态风险评估.
研究的目的:
- * 开发一个用户友好的Web应用程序,用于估计COVID-19 ICU入院风险.
- *将决策树预测模型整合到实际的医疗保健工具中.
- *为管理COVID-19患者的医疗保健专业人员提供临床决策支持.
主要方法:
- * 应用技术生产研究使用Python和Streamlit框架.
- * 基于决策树算法的预测模型的开发.
- *使用曲线下的面积 (AUC) 度量评估模型性能,达到0.668.8.
主要成果:
- *Streamlit Web App根据患者入院ICU的可能性对患者进行分层.
- * 利用与精准护理相关的变量进行增强的风险评估.
- * 作为医疗保健专业人员的有价值的决策支持工具.
结论:
- *开发的Web App是传播研究成果的可行工具.
- *Streamlit使护理人员更容易理解和应用.
- * 该工具展示了在COVID-19患者护理中支持临床决策的潜力.
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