Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jeffrey A. Ruhl"'
Autor:
Alvaro E. Ulloa-Cerna, Linyuan Jing, John M. Pfeifer, Sushravya Raghunath, Jeffrey A. Ruhl, Daniel B. Rocha, Joseph B. Leader, Noah Zimmerman, Greg Lee, Steven R. Steinhubl, Christopher W. Good, Christopher M. Haggerty, Brandon K. Fornwalt, Ruijun Chen
Publikováno v:
Circulation. 146:36-47
Background: Timely diagnosis of structural heart disease improves patient outcomes, yet many remain underdiagnosed. While population screening with echocardiography is impractical, ECG-based prediction models can help target high-risk patients. We de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbec86784f24621527ff40b3e2ae4d43
https://doi.org/10.1161/circulationaha.121.057869
https://doi.org/10.1161/circulationaha.121.057869
Autor:
Sushravya Raghunath, John M. Pfeifer, Christopher R. Kelsey, Arun Nemani, Jeffrey A. Ruhl, Dustin N. Hartzel, Alvaro E. Ulloa Cerna, Linyuan Jing, David P. vanMaanen, Joseph B. Leader, Gargi Schneider, Thomas B. Morland, Ruijun Chen, Noah Zimmerman, Brandon K. Fornwalt, Christopher M. Haggerty
Publikováno v:
Journal of electrocardiology. 76
Several large trials have employed age or clinical features to select patients for atrial fibrillation (AF) screening to reduce strokes. We hypothesized that a machine learning (ML) model trained to predict AF risk from 12‑lead electrocardiogram (E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb6b588c745f23077270371b89258794
https://pubmed.ncbi.nlm.nih.gov/36436476
https://pubmed.ncbi.nlm.nih.gov/36436476
Autor:
Christopher M. Haggerty, Sushravya Raghunath, Alvaro E. Ulloa Cerna, Linyuan Jing, Jeffrey A. Ruhl, Dustin N. Hartzel, Christopher R. Kelsey, Daniel B. Rocha, Noah Zimmerman, Steven Steinhubl, Thomas B. Morland, Ruijun Chen, John M. Pfeifer, Brandon K. Fornwalt
Publikováno v:
Journal of Electrocardiology. 73:3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a85e98b12e268455f140e3c84c877c8
https://doi.org/10.1016/j.jelectrocard.2022.07.016
https://doi.org/10.1016/j.jelectrocard.2022.07.016