CatBoost Machine Learning Model for Thrombosis Risk Prediction in Critically Ill Cancer Patients: A MIMIC-IV Database Study
Clinical and Applied Thrombosis/Hemostasis
Published online on January 12, 2026
Abstract
Clinical and Applied Thrombosis/Hemostasis, Volume 32, January-December 2026.
ObjectiveTo develop and validate a robust machine learning-based prediction model for assessing the risk of thrombotic events in critically ill cancer patients during their ICU stay.MethodsThis retrospective observational study utilized data from 1892 ...
ObjectiveTo develop and validate a robust machine learning-based prediction model for assessing the risk of thrombotic events in critically ill cancer patients during their ICU stay.MethodsThis retrospective observational study utilized data from 1892 ...