A Predictive Model for Perinatal Brain Injury Using Machine Learning Based on Early Birth Data
Bibliographic Data
the gradient boosting model with ADASYN oversampling effectively predicts perinatal brain injury, potentially improving early detection for predicting long-term outcomes, reducing unnecessary MRI scans, and lowering healthcare costs
Acquired brain injury · Machine learning · Cardiac Arrest and Resuscitation · Computer Science · Neonatal and fetal brain pathology · Neuroscience · Psychology · Traumatic Brain Injury Research · Artificial Intelligence · Rehabilitation
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