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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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Total This Year This Month
7 7 0
Downloads per country
United States of America 2 (40%)
Unknown 1 (20%)
Singapore 1 (20%)
Indonesia 1 (20%)
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Statistics Last Updated
Mon Jul 14 08:34:54 2025