A deep neural network framework to derive interpretable decision rules for accurate traumatic brain injury identification of infants

被引：0
|
作者：
Baiming Zou
Xinlei Mi
Elizabeth Stone
Fei Zou
机构：
[1] University of North Carolina at Chapel Hill,Department of Biostatistics
[2] University of North Carolina at Chapel Hill,School of Nursing
[3] Northwestern University,Department of Preventive Medicine
[4] University of North Carolina at Chapel Hill, Biostatistics Quantitative Data Sciences Core (QDSC)
来源：
BMC Medical Informatics and Decision Making | / 23卷
关键词：
Deep neural network; Diagnosis test; Feature importance; Head trauma; Testable machine learning; Permutation;
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