A deep learning approach for length of stay prediction in clinical settings from medical records

Tahmina Zebin, Shahadate Rezvy, Thierry J. Chaussalet. A deep learning approach for length of stay prediction in clinical settings from medical records. In Giacomo Baruzzo, Sebastian Daberdaku, Barbara Di Camillo, Simone Furini, Emanuele Domenico Giordano, Giuseppe Nicosia, editors, IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019, Siena, Italy, July 9-11, 2019. pages 1-5, IEEE, 2019. [doi]

@inproceedings{ZebinRC19,
  title = {A deep learning approach for length of stay prediction in clinical settings from medical records},
  author = {Tahmina Zebin and Shahadate Rezvy and Thierry J. Chaussalet},
  year = {2019},
  doi = {10.1109/CIBCB.2019.8791477},
  url = {https://doi.org/10.1109/CIBCB.2019.8791477},
  researchr = {https://researchr.org/publication/ZebinRC19},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019, Siena, Italy, July 9-11, 2019},
  editor = {Giacomo Baruzzo and Sebastian Daberdaku and Barbara Di Camillo and Simone Furini and Emanuele Domenico Giordano and Giuseppe Nicosia},
  publisher = {IEEE},
  isbn = {978-1-7281-1462-0},
}