Health care fraud detection using nonnegative matrix factorization

@article{Zhu2011HealthCF,
  title={Health care fraud detection using nonnegative matrix factorization},
  author={Shunzhi Zhu and Yan Wang and Yun T. Wu},
  journal={2011 6th International Conference on Computer Science & Education (ICCSE)},
  year={2011},
  pages={499-503}
}
In a practical health care dataset, there are many patients with different prescriptions. A methodology for automatically identifying and clustering patients with similar symptoms is needed for health care management department to judge whether there are frauds in a large-scale clinic dataset. In this paper, we encode the clinic data with a low rank nonnegative matrix factorization algorithm to retain natural data non-negativity, thereby eliminating the need to use subtractive basis vector and… CONTINUE READING

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