- Titel:
Prediction of Myocardial Infarction Using a Combined Generative Adversarial Network Model and Feature-Enhanced Loss Function
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Yu, Shixiang ; Han, Siyu ; Shi, Mengya ; Harada, Makoto ; Ge, Jianhong ; Li, Xuening ; Cai, Xiang ; Heier, Margit ; Karstenmüller, Gabi ; Suhre, Karsten ; Gieger, Christian ; Koenig, Wolfgang ; Rathmann, Wolfgang ; Peters, Annette ; Wang-Sattler, Rui
- Stichworte:
- Article ; myocardial infarction ; prediction ; generative adversarial networks ; limited and imbalanced incident cases ; feature enhancement ; GAN for feature-enhanced ; GFE loss function
- Zeitschriftentitel:
- Metabolites
- Jahr:
- 2024
- Band / Volume:
- 14
- Heft / Issue:
- 5
- Volltext / DOI:
- doi:10.3390/metabo14050258
- Verlag / Institution:
- MDPI
- E-ISSN:
- 2218-1989
- Publikationsdatum:
- 30.04.2024
- CC-Lizenz:
- by, https://creativecommons.org/licenses/by/4.0
-
- BibTeX