DAVE: Differential Diagnostic Analysis Automation and Visualization from Clinical Notes

Hadi Hamoud, Fadi Zaraket, Chadi Abou Chakra, Mira Dankar


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
Anthology ID:
2023.eacl-demo.33
Volume:
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
Month:
May
Year:
2023
Address:
Dubrovnik, Croatia
Editors:
Danilo Croce, Luca Soldaini
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
307–314
Language:
URL:
https://aclanthology.org/2023.eacl-demo.33
DOI:
10.18653/v1/2023.eacl-demo.33
Bibkey:
Cite (ACL):
Hadi Hamoud, Fadi Zaraket, Chadi Abou Chakra, and Mira Dankar. 2023. DAVE: Differential Diagnostic Analysis Automation and Visualization from Clinical Notes. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 307–314, Dubrovnik, Croatia. Association for Computational Linguistics.
Cite (Informal):
DAVE: Differential Diagnostic Analysis Automation and Visualization from Clinical Notes (Hamoud et al., EACL 2023)
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PDF:
https://preview.aclanthology.org/naacl24-info/2023.eacl-demo.33.pdf
Video:
 https://preview.aclanthology.org/naacl24-info/2023.eacl-demo.33.mp4