Cheng Zhang

Predicting long-term outcomes in intracerebral hemorrhage: a comparative study of machine learning models highlights the prognostic value of hematoma clearance

Purpose This study aimed to develop and internally validate postoperative prognostic models for long-term functional outcomes in patients with spontaneous intracerebral hemorrhage (sICH) following hematoma evacuation, and to compare the performance of traditional logistic regression (LR) with machine learning (ML) algo...