Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nathan J. Stoudt"'
Autor:
John M. Pfeifer, Ashraf T. Hafez, Daniel B. Rocha, Christopher W. Good, Arun Nemani, Linyuan Jing, Jeffery A. Ruhl, Nathan J. Stoudt, Kipp W. Johnson, Gargi Schneider, Braxton Lagerman, Alvaro E. Ulloa-Cerna, Tanner Carbonati, Brandon K. Fornwalt, Christoph J. Griessenauer, Christopher M. Haggerty, Dustin N. Hartzel, Sushravya Raghunath, David P. vanMaanen, Noah Zimmerman, Joseph B. Leader, H. Lester Kirchner
Publikováno v:
Circulation
Supplemental Digital Content is available in the text.
Background: Atrial fibrillation (AF) is associated with substantial morbidity, especially when it goes undetected. If new-onset AF could be predicted, targeted screening could be used to fin
Background: Atrial fibrillation (AF) is associated with substantial morbidity, especially when it goes undetected. If new-onset AF could be predicted, targeted screening could be used to fin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ffa34f2b77821b306e01d3937f1b6be
http://europepmc.org/articles/PMC7996054
http://europepmc.org/articles/PMC7996054
Autor:
Linyuan Jing, John M. Pfeifer, Dustin N. Hartzel, Christoph J. Griessenauer, Christopher W. Good, David P. vanMaanen, Joseph B. Leader, Sushravya Raghunath, Alvaro Ulloa, Tanner Carbonati, Jeffrey Ruhl, Brandon K. Fornwalt, Christopher M. Haggerty, H. Lester Kirchner, Noah Zimmerman, Arun Nemani, Ashraf T. Hafez, Kipp W. Johnson, Nathan J. Stoudt
Publikováno v:
Circulation. 142
Background: Atrial fibrillation (AF) is associated with stroke, especially when AF goes undetected. Deep neural networks (DNN) can predict incident AF from a 12-lead resting ECG. We hypothesize that use of a DNN to predict new onset AF from an ECG ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70adfdf536acc5dd8126dcec1ff9f887
https://doi.org/10.1161/circ.142.suppl_3.13102
https://doi.org/10.1161/circ.142.suppl_3.13102
Autor:
Dustin N. Hartzel, Christopher M. Haggerty, Bern E. McCarty, Ashraf T. Hafez, John M. Pfeifer, Joseph B. Leader, Linyuan Jing, Brandon K. Fornwalt, Christopher W. Good, H. Lester Kirchner, Tanner Carbonati, Kipp W. Johnson, Arun Nemani, Alvaro E. Ulloa-Cerna, Nathan J. Stoudt, David P. vanMaanen, Christoph J. Griessenauer, Jeffery A. Ruhl, Noah Zimmerman, Sushravya Raghunath
BackgroundAtrial fibrillation (AF) is associated with substantial morbidity, especially when it goes undetected. If new onset AF could be predicted, targeted population screening could be used to find it early. We hypothesized that a deep neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fa1f551af5c51c1be8281e25f59822d
https://doi.org/10.1101/2020.04.23.20067967
https://doi.org/10.1101/2020.04.23.20067967
