Prediction of Blood Oxygen Saturation by Physiological Variables Using Machine Learning

Ronald H. Rovira, Óscar W. Gómez, Manuel Montaño, Marcia M. Bayas, Junior Figueroa, Carlos Efraín Andrade. Prediction of Blood Oxygen Saturation by Physiological Variables Using Machine Learning. In Teresa Guarda, Filipe Portela, Maria Fernanda Augusto, editors, Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2024 International Workshops, Santiago de Chile, Chile, October 21-23, 2024, Revised Selected Papers, Part II. Volume 2349 of Communications in Computer and Information Science, pages 188-200, Springer, 2024. [doi]

@inproceedings{RoviraGMBFA24,
  title = {Prediction of Blood Oxygen Saturation by Physiological Variables Using Machine Learning},
  author = {Ronald H. Rovira and Óscar W. Gómez and Manuel Montaño and Marcia M. Bayas and Junior Figueroa and Carlos Efraín Andrade},
  year = {2024},
  doi = {10.1007/978-3-031-83432-5_13},
  url = {https://doi.org/10.1007/978-3-031-83432-5_13},
  researchr = {https://researchr.org/publication/RoviraGMBFA24},
  cites = {0},
  citedby = {0},
  pages = {188-200},
  booktitle = {Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2024 International Workshops, Santiago de Chile, Chile, October 21-23, 2024, Revised Selected Papers, Part II},
  editor = {Teresa Guarda and Filipe Portela and Maria Fernanda Augusto},
  volume = {2349},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-031-83432-5},
}