NCT05410171

Machine Learning-based Early Clinical Warning of High-risk Patients

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 1,000 (estimated)
• Sponsor: Southeast University, China · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Not accepted

Summary

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.

Detailed description

Build the early warning system.

Conditions

• High-risk Patients
• Risk Reduction
• Machine Learning

Interventions

Type	Name	Description
DEVICE	early warning platform	High risk inpatients will be evaluated by early warning platform

Timeline

• Start date: 2022-06-01
• Primary completion: 2023-06-01
• Completion: 2023-12-01
• First posted: 2022-06-08
• Last updated: 2022-12-01

Locations

1 site across 1 country: China