NCT03235193
已完成
不适用
Prediction of Severe Sepsis Using a Machine Learning Algorithm
Dascena1 个研究点 分布在 1 个国家目标入组 2,296 人2017年7月1日
概览
- 阶段
- 不适用
- 干预措施
- 未指定
- 疾病 / 适应症
- Sepsis
- 发起方
- Dascena
- 入组人数
- 2296
- 试验地点
- 1
- 主要终点
- In-hospital mortality
- 状态
- 已完成
- 最后更新
- 4年前
概览
简要总结
In this prospective study, the ability of a machine learning algorithm to predict sepsis and influence clinical outcomes, will be investigated at Cabell Huntington Hospital (CHH).
研究者
入排标准
入选标准
- •All adult patients visiting the emergency department, or admitted to the participating intensive care unit (ICU) wards of Cabell Huntington Hospital will be eligible.
排除标准
- •All patients younger than 18 years of age will be excluded.
结局指标
主要结局
In-hospital mortality
时间窗: Through study completion, an average of 30 days
次要结局
- Hospital length of stay(Through study completion, an average of 30 days)
研究点 (1)
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