LUP Statistics
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 |
| 25 | 8 | 0 |
United States of America  |
8 (32%) |
Sweden  |
6 (24%) |
China  |
3 (12%) |
Germany  |
1 (4%) |
Finland  |
1 (4%) |
Israel  |
1 (4%) |
Australia  |
1 (4%) |
United Kingdom of Great Britain and Northern Ireland  |
1 (4%) |
Hong Kong (China)  |
1 (4%) |
Singapore  |
1 (4%) |
Indonesia  |
1 (4%) |