Explainable unsupervised anomaly detection for healthcare insurance data

被引：0
|
作者：
Hannes De Meulemeester [1 ]
Frank De Smet [2 ]
Johan van Dorst [3 ]
Elise Derroitte [2 ]
Bart De Moor [2 ]
机构：
[1] ESAT-STADIUS,Department of Electrical Engineering
[2] KU Leuven,Department of Public Health and Primary Care, Environment and Health
[3] Christian Health Insurance Fund,undefined
[4] KU Leuven,undefined
来源：
BMC Medical Informatics and Decision Making | / 25卷 / 1期
关键词：
Health insurance; Anomaly detection; Unsupervised machine learning;
D O I：
10.1186/s12911-024-02823-6
中图分类号：
学科分类号：
摘要：
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