Predictive Model of Internal Bleeding in Elderly Aspirin Users Using XGBoost Machine Learning
T Chen, W Lei, M Wang - Risk Management and Healthcare Policy, 2024 - Taylor & Francis
Objective This study aimed to develop a predictive model for assessing internal bleeding
risk in elderly aspirin users using machine learning. Methods A total of 26,030 elderly aspirin …
risk in elderly aspirin users using machine learning. Methods A total of 26,030 elderly aspirin …