Multiple Regression Model to Analyze the Length of Stay for Patients Undergoing Laparoscopic Appendectomy: A Bicentric Study

Emma Montella, Marta Rosaria Marino, Alessandro Frangiosa, Giuseppe Mazia, Massimo Majolo, Eliana Raiola, Giuseppe Russo, Giuseppe Longo, Giovanni Rossi, Anna Borrelli, Maria Triassi. Multiple Regression Model to Analyze the Length of Stay for Patients Undergoing Laparoscopic Appendectomy: 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 410-419, Springer, 2022. [doi]

@inproceedings{MontellaMFMMRRL22,
  title = {Multiple Regression Model to Analyze the Length of Stay for Patients Undergoing Laparoscopic Appendectomy: A Bicentric Study},
  author = {Emma Montella and Marta Rosaria Marino and Alessandro Frangiosa and Giuseppe Mazia and Massimo Majolo and Eliana Raiola and Giuseppe Russo and Giuseppe Longo and Giovanni Rossi and Anna Borrelli and Maria Triassi},
  year = {2022},
  doi = {10.1007/978-3-031-25191-7_37},
  url = {https://doi.org/10.1007/978-3-031-25191-7_37},
  researchr = {https://researchr.org/publication/MontellaMFMMRRL22},
  cites = {0},
  citedby = {0},
  pages = {410-419},
  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},
}