Predicting 120-Day Hospital Readmission Using Medical Administrative Patient Data

Marijn van Wingerden, Jelle de Boer, Eric Postma. Predicting 120-Day Hospital Readmission Using Medical Administrative Patient Data. In Katrien Beuls, Bart Bogaerts 0001, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, Tom Lenaerts, Gilles Louppe, Paul Van Eecke, editors, Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019. Volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, 2019. [doi]

@inproceedings{WingerdenBP19,
  title = {Predicting 120-Day Hospital Readmission Using Medical Administrative Patient Data},
  author = {Marijn van Wingerden and Jelle de Boer and Eric Postma},
  year = {2019},
  url = {http://ceur-ws.org/Vol-2491/abstract94.pdf},
  researchr = {https://researchr.org/publication/WingerdenBP19},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019},
  editor = {Katrien Beuls and Bart Bogaerts 0001 and Gianluca Bontempi and Pierre Geurts and Nick Harley and Bertrand Lebichot and Tom Lenaerts and Gilles Louppe and Paul Van Eecke},
  volume = {2491},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}