XGBoost-based machine learning test improves the accuracy of hemorrhage prediction among geriatric patients with long-term administration of rivaroxaban

被引:0
作者
Cheng Chen
Chun Yin
Yanhu Wang
Jing Zeng
Shuili Wang
Yurong Bao
Yixuan Xu
Tongbo Liu
Jiao Fan
Xian Liu
机构
[1] National Clinical Research Center for Geriatric Diseases,The Second Medical Center &
[2] Chinese PLA General Hospital,Department of Cardiovascular Medicine
[3] the 902Nd Hospital of PLA Joint Service Support Force,Department of Cardiovascular Medicine
[4] the Second Affiliated Hospital of Army Medical University,Department of Information, Medical Supplies Center
[5] PLA General Hospital,Department of Pharmaceutical Sciences
[6] Beijing Institute of Radiation Medicine,undefined
来源
BMC Geriatrics | / 23卷
关键词
Direct oral anticoagulants; Rivaroxaban; Hemorrhage; Risk factor analysis; XGBoost;
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