Identifying Symptom Clusters Through Association Rule Mining

Mikayla Biggs, Carla Floricel, Lisanne van Dijk, Abdallah S. R. Mohamed, Clifton David Fuller, G. Elisabeta Marai, Xinhua Zhang, Guadalupe Canahuate. Identifying Symptom Clusters Through Association Rule Mining. In Allan Tucker, Pedro Henriques Abreu, Jaime S. Cardoso 0001, Pedro Pereira Rodrigues, David Riaño 0001, editors, Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings. Volume 12721 of Lecture Notes in Computer Science, pages 491-496, Springer, 2021. [doi]

@inproceedings{BiggsFDMFMZC21,
  title = {Identifying Symptom Clusters Through Association Rule Mining},
  author = {Mikayla Biggs and Carla Floricel and Lisanne van Dijk and Abdallah S. R. Mohamed and Clifton David Fuller and G. Elisabeta Marai and Xinhua Zhang and Guadalupe Canahuate},
  year = {2021},
  doi = {10.1007/978-3-030-77211-6_58},
  url = {https://doi.org/10.1007/978-3-030-77211-6_58},
  researchr = {https://researchr.org/publication/BiggsFDMFMZC21},
  cites = {0},
  citedby = {0},
  pages = {491-496},
  booktitle = {Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings},
  editor = {Allan Tucker and Pedro Henriques Abreu and Jaime S. Cardoso 0001 and Pedro Pereira Rodrigues and David Riaño 0001},
  volume = {12721},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-77211-6},
}