| Title: | Bioimpedance and New-Onset Heart Failure: A Longitudinal Study of >500 000 Individuals From the General Population |
| Journal: | J Am Heart Assoc |
| Published: | 29 Jun 2018 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/29959136/ |
| DOI: | https://doi.org/10.1161/JAHA.118.008970 |
Publication 2850
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
A study where machine learning was used to identify risk factors for incident heart failure. Leg bioimpedance was identified as a new marker which was further explored in confirmatory analyses.1 Author
- Lindholm D et al.
1 Application
| Application ID | Title |
|---|---|
| 16097 | Phenome-wide association studies of drug targets |
Enabling scientific discoveries that improve human health