https://www.selleckchem.com/pr....oducts/gefitinib-bas
3, respectively). The performance of Catboost and XGBoost in predicting poor prognosis at 90-day was better than the Logistic model, and the difference was statistically significant(P0.05). All models, both those constructed by Logistic regression and those by machine learning had good calibration. Machine learning algorithms were not inferior to the Logistic regression model in predicting the poor prognosis of patients with TIA and minor stroke at 90-day. Among them, the Catboost model had the best predictive perfo