A novel self-adaptive method for improving patient monitoring with composite early-warning scores

Antonio Iyda Paganelli, Pedro Elkind Velmovitsky, Adriano Branco, Markus Endler, Plinio Pelegrini Morita, Paulo Alencar 0001, Donald D. Cowan. A novel self-adaptive method for improving patient monitoring with composite early-warning scores. In Shusaku Tsumoto, Yukio Ohsawa, Lei Chen 0002, Dirk Van den Poel, Xiaohua Hu 0001, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan 0001, editors, IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. pages 201-208, IEEE, 2022. [doi]

@inproceedings{PaganelliVBEMAC22,
  title = {A novel self-adaptive method for improving patient monitoring with composite early-warning scores},
  author = {Antonio Iyda Paganelli and Pedro Elkind Velmovitsky and Adriano Branco and Markus Endler and Plinio Pelegrini Morita and Paulo Alencar 0001 and Donald D. Cowan},
  year = {2022},
  doi = {10.1109/BigData55660.2022.10021046},
  url = {https://doi.org/10.1109/BigData55660.2022.10021046},
  researchr = {https://researchr.org/publication/PaganelliVBEMAC22},
  cites = {0},
  citedby = {0},
  pages = {201-208},
  booktitle = {IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022},
  editor = {Shusaku Tsumoto and Yukio Ohsawa and Lei Chen 0002 and Dirk Van den Poel and Xiaohua Hu 0001 and Yoichi Motomura and Takuya Takagi and Lingfei Wu and Ying Xie and Akihiro Abe and Vijay Raghavan 0001},
  publisher = {IEEE},
  isbn = {978-1-6654-8045-1},
}