NCT05410171招募中不适用
Machine Learning-based Early Clinical Warning of High-risk Patients
Southeast University, China1 个研究点 分布在 1 个国家目标入组 1,000 人开始时间: 2022年6月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 1,000
- 试验地点
- 1
- 主要终点
- 28-day all cause mortality
研究概览
简要总结
Through the early warning platform for inpatients established by our hospital, the various indicators of patients collected in real time are carried out for automated intelligent evaluation and analysis, early warning of high-risk patients to assess the impact on patient prognosis and the impact on the occurrence of adverse events in inpatients.
详细描述
Build the early warning system.
研究设计
- 研究类型
- Interventional
- 分配方式
- Non Randomized
- 干预模型
- Sequential
- 主要目的
- Health Services Research
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 80 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients who use ECG monitoring
- •Age ≥ 18 years old
- •Understand and sign an informed consent form
排除标准
- •Pregnancy or lactation
结局指标
主要结局
28-day all cause mortality
时间窗: 28 days
28-day all cause mortality
次要结局
- Hospital mortality(through study completion, an average of 1 month)
研究者
Songqiao Liu
Head of Information Division
Southeast University, China
研究点 (1)
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