首页> 外国专利> PREDICTION OF ACUTE RESPIRATORY DISEASE SYNDROME (ARDS) BASED ON PATIENTS' PHYSIOLOGICAL RESPONSES

PREDICTION OF ACUTE RESPIRATORY DISEASE SYNDROME (ARDS) BASED ON PATIENTS' PHYSIOLOGICAL RESPONSES

机译:基于患者生理反应的急性呼吸系统疾病综合症(ARD)的预测

摘要

A process and system for determining a minimal, 'pruned' version of the known ARDS model is provided that quantifies the risk of ARDS in terms of physiologic response of the patient, eliminating the more subjective and/or therapeutic features currently used by the conventional ARDS models. This approach provides an accurate tracking of ARDS risk modeled only on the patient's physiological response and observable reactions, and the decision criteria are selected to provide a positive prediction as soon as possible before an onset of ARDS. In addition, the pruning process also allows the ARDS model to be customized for different medical facility sites using selective combinations of risk factors and rules that yield optimized performance. Additionally, predictions may be provided in cases with missing or outdated data by providing estimates of the missing data, and confidence bounds about the predictions based on the variance of the estimates.
机译:提供了一种用于确定已知ARDS模型的最小“修剪”版本的过程和系统,其根据患者的生理反应来量化ARDS的风险,从而消除了常规ARDS目前使用的更主观和/或治疗性特征楷模。这种方法可准确跟踪仅根据患者的生理反应和可观察到的反应建模的ARDS风险,并且选择决策标准以在ARDS发作之前尽快提供阳性预测。此外,修剪过程还允许使用风险因素和规则的选择性组合来针对不同的医疗机构地点定制ARDS模型,以产生最佳性能。另外,可以通过提供丢失数据的估计以及基于估计的方差的关于预测的置信范围,来在数据丢失或过时的情况下提供预测。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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