Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases

Michela Carlotta Massi, Francesca Ieva, Emanuele Lettieri. Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases. BMC Med. Inf. & Decision Making, 20(1):160, 2020. [doi]

@article{MassiIL20,
  title = {Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases},
  author = {Michela Carlotta Massi and Francesca Ieva and Emanuele Lettieri},
  year = {2020},
  doi = {10.1186/s12911-020-01143-9},
  url = {https://doi.org/10.1186/s12911-020-01143-9},
  researchr = {https://researchr.org/publication/MassiIL20},
  cites = {0},
  citedby = {0},
  journal = {BMC Med. Inf. & Decision Making},
  volume = {20},
  number = {1},
  pages = {160},
}