@inproceedings{hamoud-etal-2023-dave,
    title = "{DAVE}: Differential Diagnostic Analysis Automation and Visualization from Clinical Notes",
    author = "Hamoud, Hadi  and
      Zaraket, Fadi  and
      Abou Chakra, Chadi  and
      Dankar, Mira",
    editor = "Croce, Danilo  and
      Soldaini, Luca",
    booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
    month = may,
    year = "2023",
    address = "Dubrovnik, Croatia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2023.eacl-demo.33/",
    doi = "10.18653/v1/2023.eacl-demo.33",
    pages = "307--314",
    abstract = "The Differential Analysis Visualizer for Electronic Medical Records (DAVE) is a tool that utilizes natural language processing and machine learning to help visualize diagnostic algorithms in real-time to help support medical professionals in their clinical decision-making process"
}