Enhancing ischemic stroke management: leveraging machine learning models for predicting patient recovery after Alteplase treatment.

Aim: Ischemic stroke remains a leading global cause of morbidity and mortality, emphasizing the need for timely treatment strategies. This study aimed to develop a machine learning model to predict clinical outcomes in ischemic stroke patients undergoing Alteplase therapy.

Methods: Data from 457 ischemic stroke patients were analyzed, including 50 demographic, clinical, laboratory, and imaging variables.