Machine Learning Methods for Mortality Prediction of Polytraumatized Patients in Intensive Care Units - Dealing with Imbalanced and High-Dimensional Data

María N. Moreno García, Javier González Robledo, Félix Martín González, Fernando Sánchez Hernández, Mercedes Sánchez Barba. Machine Learning Methods for Mortality Prediction of Polytraumatized Patients in Intensive Care Units - Dealing with Imbalanced and High-Dimensional Data. In Emilio Corchado, José A. Lozano, Héctor Quintián, Hujun Yin, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2014 - 15th International Conference, Salamanca, Spain, September 10-12, 2014. Proceedings. Volume 8669 of Lecture Notes in Computer Science, pages 309-317, Springer, 2014. [doi]

@inproceedings{GarciaRGHB14,
  title = {Machine Learning Methods for Mortality Prediction of Polytraumatized Patients in Intensive Care Units - Dealing with Imbalanced and High-Dimensional Data},
  author = {María N. Moreno García and Javier González Robledo and Félix Martín González and Fernando Sánchez Hernández and Mercedes Sánchez Barba},
  year = {2014},
  doi = {10.1007/978-3-319-10840-7_38},
  url = {http://dx.doi.org/10.1007/978-3-319-10840-7_38},
  researchr = {https://researchr.org/publication/GarciaRGHB14},
  cites = {0},
  citedby = {0},
  pages = {309-317},
  booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2014 - 15th International Conference, Salamanca, Spain, September 10-12, 2014. Proceedings},
  editor = {Emilio Corchado and José A. Lozano and Héctor Quintián and Hujun Yin},
  volume = {8669},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-10839-1},
}