To Construct a Prognosis Prediction Model for ECMO Patients Based on Machine Learning Algorithms
NCT06654388 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 290
Last updated 2024-10-23
Summary
Extracorporeal membrane oxygenation (ECMO) is a critical life-support technique for patients with severe medical conditions. Various factors affect the mortality rates of patients in intensive care units, presenting a significant clinical challenge in accurately predicting outcomes based on a limited set of indicators.
Conditions
- ECMO
Sponsors & Collaborators
-
Zhujiang Hospital
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2018-01-01
- Primary Completion
- 2024-10-01
- Completion
- 2024-10-01
Countries
- China
Study Locations
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