Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Ulloa Cerna, A."'
Autor:
Raghunath, Sushravya, Pfeifer, John M., Kelsey, Christopher R., Nemani, Arun, Ruhl, Jeffrey A., Hartzel, Dustin N., Ulloa Cerna, Alvaro E., Jing, Linyuan, vanMaanen, David P., Leader, Joseph B., Schneider, Gargi, Morland, Thomas B., Chen, Ruijun, Zimmerman, Noah, Fornwalt, Brandon K., Haggerty, Christopher M.
Publikováno v:
In Journal of Electrocardiology January-February 2023 76:61-65
Autor:
Yasser EL-Manzalawy, Mostafa Abbas, Ian Hoaglund, Alvaro Ulloa Cerna, Thomas B. Morland, Christopher M. Haggerty, Eric S. Hall, Brandon K. Fornwalt
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-13 (2021)
Abstract Background Severity scores assess the acuity of critical illness by penalizing for the deviation of physiologic measurements from normal and aggregating these penalties (also called “weights” or “subscores”) into a final score (or pr
Externí odkaz:
https://doaj.org/article/fd3175879dbf4acc818eac958f6f62cc
Autor:
Jing, Linyuan, Ulloa Cerna, Alvaro E., Good, Christopher W., Sauers, Nathan M., Schneider, Gargi, Hartzel, Dustin N., Leader, Joseph B., Kirchner, H. Lester, Hu, Yirui, Riviello, David M., Stough, Joshua V., Gazes, Seth, Haggerty, Allyson, Raghunath, Sushravya, Carry, Brendan J., Haggerty, Christopher M., Fornwalt, Brandon K.
Publikováno v:
In JACC: Heart Failure July 2020 8(7):578-587
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:
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:
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:
Haggerty, Christopher M., Raghunath, Sushravya, Ulloa Cerna, Alvaro E., Jing, Linyuan, Ruhl, Jeffrey A., Hartzel, Dustin N., Kelsey, Christopher R., Rocha, Daniel B., Zimmerman, Noah, Steinhubl, Steven, Morland, Thomas B., Chen, Ruijun, Pfeifer, John M., Fornwalt, Brandon K.
Publikováno v:
In Journal of Electrocardiology July-August 2022 73
Akademický článek
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Autor:
Alvaro E. Ulloa Cerna, Joshua V. Stough, Brandon K. Fornwalt, Seth Gazes, Joseph B. Leader, Christopher W. Good, Gargi Schneider, David M. Riviello, Sushravya Raghunath, H. Lester Kirchner, Allyson Haggerty, Linyuan Jing, Nathan M Sauers, Dustin N. Hartzel, Brendan J. Carry, Yirui Hu, Christopher M. Haggerty
Publikováno v:
JACC: Heart Failure. 8:578-587
Background Heart failure is a prevalent, costly disease for which new value-based payment models demand optimized population management strategies. Objectives This study sought to generate a strategy for managing populations of patients with heart fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f688088b0e7eb75a0e2679b8fe7e9127
https://doi.org/10.1016/j.jchf.2020.01.012
https://doi.org/10.1016/j.jchf.2020.01.012
Autor:
Xiaoyan Zhang, Alvaro E. Ulloa Cerna, Joshua V. Stough, Yida Chen, Brendan J. Carry, Amro Alsaid, Sushravya Raghunath, David P. vanMaanen, Brandon K. Fornwalt, Christopher M. Haggerty
Use of machine learning for automated annotation of heart structures from echocardiographic videos is an active research area, but understanding of comparative, generalizable performance among models is lacking. This study aimed to 1) assess the gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2fa3b075ed192166c621830ea6a11f0
https://doi.org/10.21203/rs.3.rs-1097714/v1
https://doi.org/10.21203/rs.3.rs-1097714/v1
