Leander Löw, Martin Spindler, Eike Brechmann
arXiv 30 Aug 2018 · Machine Learning
arXiv:1808.10543 · PDF · DOI · OpenAlex · Extracted main text
Insurance companies must manage millions of claims per year. While most of these claims are non-fraudulent, fraud detection is core for insurance companies. The ultimate goal is a predictive model to single out the fraudulent claims and pay out the non-fraudulent ones immediately. Modern machine learning methods are well suited for this kind of problem. Health care claims often have a data structure that is hierarchical and of variable length. We propose one model based on piecewise feed forward neural networks (deep learning) and another model based on self-attention neural networks for the task of claim management. We show that the proposed methods outperform bag-of-words based models, hand designed features, and models based on convolutional neural networks, on a data set of two million health care claims. The proposed self-attention method performs the best.
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| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Vaswani, Ashish, Shazeer, Noam, Parmar, Niki, Uszkoreit, Jakob, Jone… Attention Is All You Need | 0.644 | 2 | 2 | 100% |
| 2 | Ba, Jimmy Lei, Kiros, Jamie Ryan, and Hinton, Geoffrey E Layer Normalization | 0.405 | 1 | 1 | 100% |
| 3 | Bahdanau, Dzmitry, Cho, Kyunghyun, and Bengio, Yoshua (2014) Neural Machine Translation by Jointly Learning to Align and Translate | 0.405 | 1 | 1 | 100% |
| 4 | Graves, Alex (2012) Supervised Sequence Labelling | 0.405 | 1 | 1 | 100% |
| 5 | Guo, Cheng and Berkhahn, Felix Entity Embeddings of Categorical Variables | 0.405 | 1 | 1 | 100% |
| 6 | Kim, Yoon (2014) Convolutional Neural Networks for Sentence Classification | 0.405 | 1 | 1 | 100% |
| 7 | Mikolov, Tomas, Chen, Kai, Corrado, Greg, and Dean, Jeffrey (2013) Efficient Estimation of Word Representations in Vector Space | 0.405 | 1 | 1 | 100% |
| 8 | Shen, Tao, Zhou, Tianyi, Long, Guodong, Jiang, Jing, Pan, Shirui, an… DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding | 0.405 | 1 | 1 | 100% |
| 9 | Wu, Songtao, Zhong, Shenghua, and Liu, Yan (2017) Deep residual learning for image steganalysis | 0.405 | 1 | 1 | 100% |
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