Construction of a Machine Learning-Based Clopidogrel Resistance Risk Prediction Model.
Wang RY, Yan SD, Zeng JQ, Mu T, Yan Y, Zhao YY, Xie L, Liu LL.
Wang RY, et al.
Cardiovasc Toxicol. 2025 Oct;25(10):1548-1560. doi: 10.1007/s12012-025-10026-2. Epub 2025 Jul 14.
Cardiovasc Toxicol. 2025.
PMID: 40658305
Modeling was performed using Logistic Regression, LGBM Classifier, Random Forest Classifier, and SVC machine learning models, followed by model comparison, to ultimately construct the clopidogrel resistance risk prediction model. The clopidogrel resistance …
Modeling was performed using Logistic Regression, LGBM Classifier, Random Forest Classifier, and SVC machine learning models, followed by mo …