Predicting disease risks from highly imbalanced data using random forest

被引：0
|
作者：
Mohammed Khalilia
Sounak Chakraborty
Mihail Popescu
机构：
[1] Department of Computer Science,Department of Health Management and Informatics
[2] University of Missouri,undefined
[3] Department of Statistics,undefined
[4] University of Missouri,undefined
[5] University of Missouri,undefined
来源：
BMC Medical Informatics and Decision Making | / 11卷
关键词：
Support Vector Machine; Random Forest; Imbalanced Data; Disease Prediction; National Inpatient Sample;
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学科分类号：
摘要：
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