Sepsis Clinical Trial
Official title:
Early Prediction of Sepsis in Hospitalized Patients Using a Machine Learning Algorithm, a Randomized Clinical Validation Trial.
In this clinical trial a novel Medical Device Software will be validated prospectively. The software incorporates a machine learning algorithm capable of predicting sepsis by using routine clinical variables in adult patients at Intensive Care Units.
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Status | Clinical Trial | Phase | |
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Active, not recruiting |
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Completed |
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Phase 3 | |
Completed |
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Completed |
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Phase 3 | |
Completed |
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Recruiting |
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N/A | |
Terminated |
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Completed |
NCT03550794 -
Thiamine as a Renal Protective Agent in Septic Shock
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Phase 2 | |
Completed |
NCT04332861 -
Evaluation of Infection in Obstructing Urolithiasis
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Completed |
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N/A | |
Enrolling by invitation |
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Terminated |
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Phase 4 | |
Recruiting |
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Machine Learning Sepsis Alert Notification Using Clinical Data
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Phase 2 | |
Completed |
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Hydrocortisone, Vitamin C, and Thiamine for the Treatment of Sepsis and Septic Shock
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N/A | |
Recruiting |
NCT05217836 -
Iron Metabolism Disorders in Patients With Sepsis or Septic Shock.
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Completed |
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N/A | |
Completed |
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Heparin Binding Protein in Early Sepsis Diagnosis
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N/A | |
Not yet recruiting |
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Not yet recruiting |
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N/A | |
Not yet recruiting |
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Phase 3 |