@InProceedings{girardi-EtAl:2018:LOUHI,
  author    = {Girardi, Ivan  and  Ji, Pengfei  and  Nguyen, An-phi  and  Hollenstein, Nora  and  Ivankay, Adam  and  Kuhn, Lorenz  and  Marchiori, Chiara  and  Zhang, Ce},
  title     = {Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks},
  booktitle = {Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis},
  month     = {October},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {139--148},
  abstract  = {We present an operational component of a real-world patient triage system. Given a specific patient presentation, the system is able to assess the level of medical urgency and issue the most appropriate recommendation in terms of best point of care and time to treat. We use an attention-based convolutional neural network},
  url       = {http://www.aclweb.org/anthology/W18-5616}
}