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Detection of Atrial Fibrillation in a Large Population Using Wearable Devices: The Fitbit Heart Study

Circulation (New York, N.Y.), 2022-11, Vol.146 (19), p.1415-1424

2022

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Population-Based Screening for Atrial Fibrillation

Circulation research, 2020-06, Vol.127 (1), p.143-154

2020

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ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation

Circulation (New York, N.Y.), 2022-01, Vol.145 (2), p.122-133

2022

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50 year trends in atrial fibrillation prevalence, incidence, risk factors, and mortality in the Framingham Heart Study: a cohort study

The Lancet (British edition), 2015-07, Vol.386 (9989), p.154-162

2015

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Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from data acquired by a consumer tracker or smartwatch: The Fitbit heart study

The American heart journal, 2021-08, Vol.238, p.16-26

2021

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Genetic Predisposition, Clinical Risk Factor Burden, and Lifetime Risk of Atrial Fibrillation

Circulation (New York, N.Y.), 2018-03, Vol.137 (10), p.1027-1038

2018

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Frequency of Cardiac Rhythm Abnormalities in a Half Million Adults

Circulation. Arrhythmia and electrophysiology, 2018-07, Vol.11 (7), p.e006273-e006273

2018

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Sudden Cardiac Arrest Survivorship: A Scientific Statement From the American Heart Association

Circulation (New York, N.Y.), 2020-03, Vol.141 (12), p.e654-e685

2020

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Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy

Nature communications, 2020-05, Vol.11 (1), p.2254-2254, Article 2254

2020

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Clinical and genetic evaluation after sudden cardiac arrest

Journal of cardiovascular electrophysiology, 2020-02, Vol.31 (2), p.570-578

2020

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A Functional Variant Associated with Atrial Fibrillation Regulates PITX2c Expression through TFAP2a

American journal of human genetics, 2016-12, Vol.99 (6), p.1281-1291

2016

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The Effect of PCSK9 (Proprotein Convertase Subtilisin/Kexin Type 9) Inhibition on the Risk of Venous Thromboembolism

Circulation (New York, N.Y.), 2020-05, Vol.141 (20), p.1600-1607

2020

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Phenotypic Refinement of Heart Failure in a National Biobank Facilitates Genetic Discovery

Circulation (New York, N.Y.), 2019-01, Vol.139 (4), p.489-501

2019

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Sex differences in inflammatory markers in patients hospitalized with COVID-19 infection: Insights from the MGH COVID-19 patient registry

PloS one, 2021-04, Vol.16 (4), p.e0250774-e0250774

2021

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Aspirin Instead of Oral Anticoagulant Prescription in Atrial Fibrillation Patients at Risk for Stroke

Journal of the American College of Cardiology, 2016-06, Vol.67 (25), p.2913-2923

2016

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Cross-modal autoencoder framework learns holistic representations of cardiovascular state

Nature communications, 2023-04, Vol.14 (1), p.2436-2436, Article 2436

2023

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A comparison of the CHARGE–AF and the CHA2DS2-VASc risk scores for prediction of atrial fibrillation in the Framingham Heart Study

The American heart journal, 2016-08, Vol.178, p.45-54

2016

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Galectin 3 and incident atrial fibrillation in the community

The American heart journal, 2014-05, Vol.167 (5), p.729-734.e1

2014

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Performance of Atrial Fibrillation Risk Prediction Models in Over 4 Million Individuals

Circulation. Arrhythmia and electrophysiology, 2021-01, Vol.14 (1), p.e008997-e008997

2021

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Relations between plasma microRNAs, echocardiographic markers of atrial remodeling, and atrial fibrillation: Data from the Framingham Offspring study

PloS one, 2020-08, Vol.15 (8), p.e0236960-e0236960

2020

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Massachusetts general hospital Covid-19 registry reveals two distinct populations of hospitalized patients by race and ethnicity

PloS one, 2020-12, Vol.15 (12), p.e0244270

2020

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Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass

Nature communications, 2023-03, Vol.14 (1), p.1558-1558, Article 1558

2023

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P Wave Duration and Risk of Longitudinal Atrial Fibrillation in Persons ≥60 Years Old (from the Framingham Heart Study)

The American journal of cardiology, 2011-03, Vol.107 (6), p.917-921.e1

2011

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New-Onset Atrial Fibrillation During Hospitalization

Journal of the American College of Cardiology, 2014-12, Vol.64 (22), p.2432-2433

2014

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Genetics of Atrial Fibrillation: State of the Art in 2017

Heart, lung & circulation, 2017-09, Vol.26 (9), p.894-901

2017

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Detection of Atrial Fibrillation in a Large Population Using Wearable Devices: The Fitbit Heart Study

Population-Based Screening for Atrial Fibrillation

ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation

50 year trends in atrial fibrillation prevalence, incidence, risk factors, and mortality in the Framingham Heart Study: a cohort study

Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from data acquired by a consumer tracker or smartwatch: The Fitbit heart study

Genetic Predisposition, Clinical Risk Factor Burden, and Lifetime Risk of Atrial Fibrillation

Frequency of Cardiac Rhythm Abnormalities in a Half Million Adults

Sudden Cardiac Arrest Survivorship: A Scientific Statement From the American Heart Association

Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy

Clinical and genetic evaluation after sudden cardiac arrest

A Functional Variant Associated with Atrial Fibrillation Regulates PITX2c Expression through TFAP2a

The Effect of PCSK9 (Proprotein Convertase Subtilisin/Kexin Type 9) Inhibition on the Risk of Venous Thromboembolism

Phenotypic Refinement of Heart Failure in a National Biobank Facilitates Genetic Discovery

Sex differences in inflammatory markers in patients hospitalized with COVID-19 infection: Insights from the MGH COVID-19 patient registry

Aspirin Instead of Oral Anticoagulant Prescription in Atrial Fibrillation Patients at Risk for Stroke

Cross-modal autoencoder framework learns holistic representations of cardiovascular state

A comparison of the CHARGE–AF and the CHA2DS2-VASc risk scores for prediction of atrial fibrillation in the Framingham Heart Study

Galectin 3 and incident atrial fibrillation in the community

Performance of Atrial Fibrillation Risk Prediction Models in Over 4 Million Individuals

Relations between plasma microRNAs, echocardiographic markers of atrial remodeling, and atrial fibrillation: Data from the Framingham Offspring study

Massachusetts general hospital Covid-19 registry reveals two distinct populations of hospitalized patients by race and ethnicity

Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass

P Wave Duration and Risk of Longitudinal Atrial Fibrillation in Persons ≥60 Years Old (from the Framingham Heart Study)

New-Onset Atrial Fibrillation During Hospitalization

Genetics of Atrial Fibrillation: State of the Art in 2017

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