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Dustin N Hartzel

Showing results (11-20 of 26) with videos related to

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European Heart Journal|August 7, 2019
Routinely reported ejection fraction and mortality in clinical practice: where does the nadir of risk lie?Gregory J Wehner, Linyuan Jing, Christopher M Haggerty, et al.
Circulation. Genomic and Precision Medicine|August 31, 2021
Predictive Accuracy of a Clinical and Genetic Risk Model for Atrial FibrillationShaan Khurshid, Nina Mars, Christopher M Haggerty, et al.
Journal of Electrocardiology|November 27, 2022
An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke riskSushravya Raghunath, John M Pfeifer, Christopher R Kelsey, et al.
Circulation. Genomic and Precision Medicine|October 23, 2019
Prevalence and Electronic Health Record-Based Phenotype of Loss-of-Function Genetic Variants in Arrhythmogenic Right Ventricular Cardiomyopathy-Associated GenesEric D Carruth, Wilson Young, Dominik Beer, et al.
Circulation. Arrhythmia and Electrophysiology|May 13, 2018
Functional Invalidation of Putative Sudden Infant Death Syndrome-Associated Variants in the <i>KCNH2</i>-Encoded Kv11.1 ChannelJennifer L Smith, David J Tester, Allison R Hall, et al.
JACC. Heart Failure|May 11, 2020
A Machine Learning Approach to Management of Heart Failure PopulationsLinyuan Jing, Alvaro E Ulloa Cerna, Christopher W Good, et al.
Nature Biomedical Engineering|February 9, 2021
Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortalityAlvaro E Ulloa Cerna, Linyuan Jing, Christopher W Good, et al.
American Journal of Obstetrics and Gynecology|April 15, 2020
A genome-wide association study of polycystic ovary syndrome identified from electronic health recordsYanfei Zhang, Kevin Ho, Jacob M Keaton, et al.
Nature Medicine|May 13, 2020
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural networkSushravya Raghunath, Alvaro E Ulloa Cerna, Linyuan Jing, et al.
Circulation|February 16, 2021
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related StrokeSushravya Raghunath, John M Pfeifer, Alvaro E Ulloa-Cerna, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
European Heart Journal|August 7, 2019
Routinely reported ejection fraction and mortality in clinical practice: where does the nadir of risk lie?Gregory J Wehner, Linyuan Jing, Christopher M Haggerty, et al.
Circulation. Genomic and Precision Medicine|August 31, 2021
Predictive Accuracy of a Clinical and Genetic Risk Model for Atrial FibrillationShaan Khurshid, Nina Mars, Christopher M Haggerty, et al.
Journal of Electrocardiology|November 27, 2022
An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke riskSushravya Raghunath, John M Pfeifer, Christopher R Kelsey, et al.
Circulation. Genomic and Precision Medicine|October 23, 2019
Prevalence and Electronic Health Record-Based Phenotype of Loss-of-Function Genetic Variants in Arrhythmogenic Right Ventricular Cardiomyopathy-Associated GenesEric D Carruth, Wilson Young, Dominik Beer, et al.
Circulation. Arrhythmia and Electrophysiology|May 13, 2018
Functional Invalidation of Putative Sudden Infant Death Syndrome-Associated Variants in the <i>KCNH2</i>-Encoded Kv11.1 ChannelJennifer L Smith, David J Tester, Allison R Hall, et al.
JACC. Heart Failure|May 11, 2020
A Machine Learning Approach to Management of Heart Failure PopulationsLinyuan Jing, Alvaro E Ulloa Cerna, Christopher W Good, et al.
Nature Biomedical Engineering|February 9, 2021
Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortalityAlvaro E Ulloa Cerna, Linyuan Jing, Christopher W Good, et al.
American Journal of Obstetrics and Gynecology|April 15, 2020
A genome-wide association study of polycystic ovary syndrome identified from electronic health recordsYanfei Zhang, Kevin Ho, Jacob M Keaton, et al.
Nature Medicine|May 13, 2020
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural networkSushravya Raghunath, Alvaro E Ulloa Cerna, Linyuan Jing, et al.
Circulation|February 16, 2021
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related StrokeSushravya Raghunath, John M Pfeifer, Alvaro E Ulloa-Cerna, et al.
Pageof 3