Machine Learning Algorithms to Study Features Affecting the Length of Stay in Patients with Lower Limb Fractures: A Bicentric Study

Ida Santalucia, Marta Rosaria Marino, Massimo Majolo, Eliana Raiola, Giuseppe Russo, Giuseppe Longo, Morena Anna Basso, Giovanni Balato, Andrea Lombardi, Anna Borrelli, Maria Triassi. Machine Learning Algorithms to Study Features Affecting the Length of Stay in Patients with Lower Limb Fractures: A Bicentric Study. In Shiping Wen 0001, Cihui Yang, editors, Biomedical and Computational Biology - Second International Symposium, BECB 2022, Virtual Event, August 13-15, 2022, Revised Selected Papers. Volume 13637 of Lecture Notes in Computer Science, pages 463-472, Springer, 2022. [doi]

@inproceedings{SantaluciaMMRRL22,
  title = {Machine Learning Algorithms to Study Features Affecting the Length of Stay in Patients with Lower Limb Fractures: A Bicentric Study},
  author = {Ida Santalucia and Marta Rosaria Marino and Massimo Majolo and Eliana Raiola and Giuseppe Russo and Giuseppe Longo and Morena Anna Basso and Giovanni Balato and Andrea Lombardi and Anna Borrelli and Maria Triassi},
  year = {2022},
  doi = {10.1007/978-3-031-25191-7_43},
  url = {https://doi.org/10.1007/978-3-031-25191-7_43},
  researchr = {https://researchr.org/publication/SantaluciaMMRRL22},
  cites = {0},
  citedby = {0},
  pages = {463-472},
  booktitle = {Biomedical and Computational Biology - Second International Symposium, BECB 2022, Virtual Event, August 13-15, 2022, Revised Selected Papers},
  editor = {Shiping Wen 0001 and Cihui Yang},
  volume = {13637},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-25191-7},
}