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KDE-OCSVM model using Kullback-Leibler divergence to detect anomalies in medical claims

Xiaokang Wang, Wenhui Hou, Hong‐yu Zhang, Jian‐qiang Wang, Mark Goh, Zhang‐peng Tian, Kai-wen Shen

2022Expert Systems with Applications24 citationsDOI

Topics & Concepts

Computer scienceDivergence (linguistics)Kernel density estimationKullback–Leibler divergenceArtificial intelligenceSupport vector machineFeature selectionKernel (algebra)Sample (material)Machine learningData miningPattern recognition (psychology)StatisticsMathematicsCombinatoricsEstimatorLinguisticsChromatographyChemistryPhilosophyAnomaly Detection Techniques and ApplicationsImbalanced Data Classification TechniquesArtificial Intelligence in Healthcare
KDE-OCSVM model using Kullback-Leibler divergence to detect anomalies in medical claims | Litcius