Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records

Tahmina Zebin, Thierry J. Chaussalet. Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health 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{ZebinC19,
  title = {Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records},
  author = {Tahmina Zebin and Thierry J. Chaussalet},
  year = {2019},
  doi = {10.1109/CIBCB.2019.8791466},
  url = {https://doi.org/10.1109/CIBCB.2019.8791466},
  researchr = {https://researchr.org/publication/ZebinC19},
  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},
}