Machine learning methods to predict 30-day hospital readmission outcome among US adults with pneumonia: analysis of the national readmission database

被引：0
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作者：
Yinan Huang
Ashna Talwar
Ying Lin
Rajender R. Aparasu
机构：
[1] University of Houston,Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy
[2] University of Houston,Department of Industrial Engineering, Cullen College of Engineering
来源：
BMC Medical Informatics and Decision Making | / 22卷
关键词：
Machine learning; Rule-based learning; Random forest; XGBoost; Hospital readmission;
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