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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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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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Lifetime risk of atrial fibrillation according to optimal, borderline, or elevated levels of risk factors: cohort study based on longitudinal data from the Framingham Heart Study

BMJ (Online), 2018-04, Vol.361, p.k1453

2018

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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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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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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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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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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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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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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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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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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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Adjusting for common variant polygenic scores improves yield in rare variant association analyses

Nature genetics, 2023-04, Vol.55 (4), p.544-548

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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Genetics of myocardial interstitial fibrosis in the human heart and association with disease

Nature genetics, 2023-05, Vol.55 (5), p.777-786

2023

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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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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-e0244270

2020

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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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Association between familial atrial fibrillation and risk of new-onset atrial fibrillation

JAMA : the journal of the American Medical Association, 2010-11, Vol.304 (20), p.2263

2010

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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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Population-Based Screening for Atrial Fibrillation

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

Lifetime risk of atrial fibrillation according to optimal, borderline, or elevated levels of risk factors: cohort study based on longitudinal data from the Framingham Heart Study

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

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

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

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

Frequency of Cardiac Rhythm Abnormalities in a Half Million Adults

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

Clinical and genetic evaluation after sudden cardiac arrest

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

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

Galectin 3 and incident atrial fibrillation in the community

Adjusting for common variant polygenic scores improves yield in rare variant association analyses

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

Genetics of myocardial interstitial fibrosis in the human heart and association with disease

Cross-modal autoencoder framework learns holistic representations of cardiovascular state

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

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

Association between familial atrial fibrillation and risk of new-onset atrial fibrillation

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

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