![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
"Selection of 51 predictors from 13, 782 candidate multimodal features ..."
Saaket Agrawal et al. (2021)
- Saaket Agrawal
, Marcus D. R. Klarqvist
, Connor Emdin, Aniruddh P. Patel
, Manish D. Paranjpe, Patrick T. Ellinor, Anthony A. Philippakis, Kenney Ng
, Puneet Batra
, Amit V. Khera
:
Selection of 51 predictors from 13, 782 candidate multimodal features using machine learning improves coronary artery disease prediction. Patterns 2(12): 100364 (2021)
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.