Regression and classification methods for predicting the length of hospital stay after cesarean section: a bicentric study

Emma Montella, Marta Rosaria Marino, Massimo Majolo, Eliana Raiola, Giuseppe Russo, Giuseppe Longo, Andrea Lombardi, Anna Borrelli, Maria Triassi. Regression and classification methods for predicting the length of hospital stay after cesarean section: a bicentric study. In Proceedings of the 6th International Conference on Medical and Health Informatics, ICMHI 2022, Virtual Event, Japan, May 13-15, 2022. pages 135-140, ACM, 2022. [doi]

@inproceedings{MontellaMMRRLLB22,
  title = {Regression and classification methods for predicting the length of hospital stay after cesarean section: a bicentric study},
  author = {Emma Montella and Marta Rosaria Marino and Massimo Majolo and Eliana Raiola and Giuseppe Russo and Giuseppe Longo and Andrea Lombardi and Anna Borrelli and Maria Triassi},
  year = {2022},
  doi = {10.1145/3545729.3545757},
  url = {https://doi.org/10.1145/3545729.3545757},
  researchr = {https://researchr.org/publication/MontellaMMRRLLB22},
  cites = {0},
  citedby = {0},
  pages = {135-140},
  booktitle = {Proceedings of the 6th International Conference on Medical and Health Informatics, ICMHI 2022, Virtual Event, Japan, May 13-15, 2022},
  publisher = {ACM},
  isbn = {978-1-4503-9630-1},
}