Harvard Catalyst Profiles

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Patrick Thomas Ellinor, M.D.,Ph.D.

Co-Author

This page shows the publications co-authored by Patrick Ellinor and Shaan Khurshid.
Connection Strength

3.206
  1. Deep learning enables genetic analysis of the human thoracic aorta. Nat Genet. 2022 01; 54(1):40-51.
    View in: PubMed
    Score: 0.243
  2. ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation. Circulation. 2022 01 11; 145(2):122-133.
    View in: PubMed
    Score: 0.242
  3. Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model. J Am Heart Assoc. 2021 09 21; 10(18):e020330.
    View in: PubMed
    Score: 0.239
  4. Predictive Accuracy of a Clinical and Genetic Risk Model for Atrial Fibrillation. Circ Genom Precis Med. 2021 10; 14(5):e003355.
    View in: PubMed
    Score: 0.239
  5. Accelerometer-derived physical activity and risk of atrial fibrillation. Eur Heart J. 2021 07 01; 42(25):2472-2483.
    View in: PubMed
    Score: 0.236
  6. Deep Learning to Predict Cardiac Magnetic Resonance-Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs. Circ Cardiovasc Imaging. 2021 06; 14(6):e012281.
    View in: PubMed
    Score: 0.236
  7. Deep learning to estimate cardiac magnetic resonance-derived left ventricular mass. Cardiovasc Digit Health J. 2021 Apr; 2(2):109-117.
    View in: PubMed
    Score: 0.232
  8. Usefulness of Rhythm Monitoring Following Acute Ischemic Stroke. Am J Cardiol. 2021 05 15; 147:44-51.
    View in: PubMed
    Score: 0.230
  9. Performance of Atrial Fibrillation Risk Prediction Models in Over 4 Million Individuals. Circ Arrhythm Electrophysiol. 2021 01; 14(1):e008997.
    View in: PubMed
    Score: 0.227
  10. Atrial Fibrillation Risk and Discrimination of Cardioembolic From Noncardioembolic Stroke. Stroke. 2020 05; 51(5):1396-1403.
    View in: PubMed
    Score: 0.217
  11. Frequency of Cardiac Rhythm Abnormalities in a Half Million Adults. Circ Arrhythm Electrophysiol. 2018 07; 11(7):e006273.
    View in: PubMed
    Score: 0.192
  12. Factors Associated with Anticoagulation Delay Following New-Onset Atrial Fibrillation. Am J Cardiol. 2017 Oct 15; 120(8):1316-1321.
    View in: PubMed
    Score: 0.180
  13. A Simple and Portable Algorithm for Identifying Atrial Fibrillation in the Electronic Medical Record. Am J Cardiol. 2016 Jan 15; 117(2):221-5.
    View in: PubMed
    Score: 0.160
  14. Screening for Atrial Fibrillation in Older Adults at Primary Care Visits: VITAL-AF Randomized Controlled Trial. Circulation. 2022 Mar 29; 145(13):946-954.
    View in: PubMed
    Score: 0.062
  15. Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke. J Am Heart Assoc. 2021 11 02; 10(21):e022363.
    View in: PubMed
    Score: 0.060
  16. Associations Between Alcohol Intake and Genetic Predisposition With Atrial Fibrillation Risk in a National Biobank. Circ Genom Precis Med. 2020 12; 13(6):e003111.
    View in: PubMed
    Score: 0.056
  17. Initial Precipitants and Recurrence of Atrial Fibrillation. Circ Arrhythm Electrophysiol. 2020 03; 13(3):e007716.
    View in: PubMed
    Score: 0.054
  18. Development and Validation of a Prediction Model for Atrial Fibrillation Using Electronic Health Records. JACC Clin Electrophysiol. 2019 11; 5(11):1331-1341.
    View in: PubMed
    Score: 0.052
  19. Electronic physician notifications to improve guideline-based anticoagulation in atrial fibrillation: a randomized controlled trial. J Gen Intern Med. 2018 12; 33(12):2070-2077.
    View in: PubMed
    Score: 0.048
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.