LUP Statistics
Record
- Title
- A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system
- Type
- Journal Article
- Publ. year
- 2024
- Author/s
- Heyman, Ellen T.; Ashfaq, Awais; Ekelund, Ulf; Ohlsson, Mattias et al.
- Department/s
- Emergency medicine; Medicine/Emergency Medicine, Lund; EpiHealth: Epidemiology for Health; Computational Science for Health and Environment; LU Profile Area: Natural and Artificial Cognition; Centre for Environmental and Climate Science (CEC); eSSENCE: The e-Science Collaboration; Artificial Intelligence in CardioThoracic Sciences (AICTS); EPI@BIO; Surgery and public health; Division of Occupational and Environmental Medicine, Lund University; Cardiovascular Research - Hypertension
- In LUP since
- 2024-12-28
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