Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts

Jamil Zaghir, José F. Rodrigues Jr., Lorraine Goeuriot, Sihem Amer-Yahia. Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts. J. Heal. Informatics Res., 5(4):474-496, 2021. [doi]

@article{ZaghirRGA21,
  title = {Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts},
  author = {Jamil Zaghir and José F. Rodrigues Jr. and Lorraine Goeuriot and Sihem Amer-Yahia},
  year = {2021},
  doi = {10.1007/s41666-021-00100-z},
  url = {https://doi.org/10.1007/s41666-021-00100-z},
  researchr = {https://researchr.org/publication/ZaghirRGA21},
  cites = {0},
  citedby = {0},
  journal = {J. Heal. Informatics Res.},
  volume = {5},
  number = {4},
  pages = {474-496},
}