Improving the Timeliness of Early Prediction Models for Sepsis through Utility Optimization

Anastasios Lamproudis, Aron Henriksson, John Karlsson Valik, Pontus Naucler. Improving the Timeliness of Early Prediction Models for Sepsis through Utility Optimization. In Marek Z. Reformat, Du Zhang, Nikolaos G. Bourbakis, editors, 34th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2022, Macao, China, October 31 - November 2, 2022. pages 1062-1069, IEEE, 2022. [doi]

@inproceedings{LamproudisHVN22,
  title = {Improving the Timeliness of Early Prediction Models for Sepsis through Utility Optimization},
  author = {Anastasios Lamproudis and Aron Henriksson and John Karlsson Valik and Pontus Naucler},
  year = {2022},
  doi = {10.1109/ICTAI56018.2022.00162},
  url = {https://doi.org/10.1109/ICTAI56018.2022.00162},
  researchr = {https://researchr.org/publication/LamproudisHVN22},
  cites = {0},
  citedby = {0},
  pages = {1062-1069},
  booktitle = {34th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2022, Macao, China, October 31 - November 2, 2022},
  editor = {Marek Z. Reformat and Du Zhang and Nikolaos G. Bourbakis},
  publisher = {IEEE},
  isbn = {979-8-3503-9744-4},
}