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Record
Title
Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset
Type
Contribution to Conference
Publ. year
2023
Author/s
Tolestam Heyman, Ellen; Ashfaq, Awais; Ekelund, Ulf; Ohlsson, Mattias et al.
Department/s
Emergency medicine; EpiHealth: Epidemiology for Health; LU Profile Area: Natural and Artificial Cognition; eSSENCE: The e-Science Collaboration; Artificial Intelligence in CardioThoracic Sciences (AICTS); EPI@BIO; Surgery and public health; Cardiovascular Research - Hypertension
In LUP since
2023-06-06
Downloads

Total This Year This Month
23 6 0
Downloads per country
United States of America 8 (36%)
Sweden 6 (27%)
China 3 (14%)
Hong Kong (China) 1 (5%)
Finland 1 (5%)
Germany 1 (5%)
Singapore 1 (5%)
Indonesia 1 (5%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
Thu Jul 17 08:37:11 2025