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Derivation and External Validation of the "FORECAST-PC" Prediction Scores
Sponsor: Dr. med. Alexander Salerno, MD-PhD
Summary
This study aims to develop and externally validate machine learning prediction models (FORECAST-PC) to determine 90-day functional outcomes for patients suffering from acute ischemic stroke in the posterior circulation who are selected for endovascular thrombectomy (EVT)
Official title: Machine Learning Models Predict 90-Day Functional Outcome in Posterior Circulation Thrombectomy: Derivation and External Validation of the "FORECAST-PC" Prediction Scores
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
732
Start Date
2015-01-01
Completion Date
2024-12-31
Last Updated
2026-08-06
Healthy Volunteers
No
Interventions
FORECAST-PC Prediction Models
Application of machine learning gradient-boosted decision tree models (Full-Feature and Light versions) at admission and 24-hours to predict 90-day functional outcome.
Locations (1)
Centre Hospitalier Universitaire Vaudois
Lausanne, Switzerland