Detection and presentation of bleeding events in the electronic health record
The aim is to aid clinical decision making using artificial intelligence (AI) to find critical information in electronic health records.
The goal in this project is to develop AI algorithms based on Natural Language Processing to find bleeding episodes reported in electronic health records. It will extract relevant text from more than 300.000 electronic health records (unstructured data) and the results will be reported to the medical doctor and patient in an easily understandable and relevant way.
Department of Clinical Biochemistry and Pharmacology, Odense University Hospital (OUH)
The Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU)