Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Christopher David Anderson, M.D.

Co-Author

This page shows the publications co-authored by Christopher Anderson and Steven Lubitz.
Connection Strength

3.256
  1. 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
  2. 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: 0.241
  3. 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
  4. 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
  5. 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
  6. Usefulness of Rhythm Monitoring Following Acute Ischemic Stroke. Am J Cardiol. 2021 05 15; 147:44-51.
    View in: PubMed
    Score: 0.230
  7. Automated Electronic Phenotyping of Cardioembolic Stroke. Stroke. 2021 01; 52(1):181-189.
    View in: PubMed
    Score: 0.227
  8. Atrial Fibrillation Risk and Discrimination of Cardioembolic From Noncardioembolic Stroke. Stroke. 2020 05; 51(5):1396-1403.
    View in: PubMed
    Score: 0.217
  9. 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: 0.209
  10. Atrial fibrillation genetic risk differentiates cardioembolic stroke from other stroke subtypes. Neurol Genet. 2018 Dec; 4(6):e293.
    View in: PubMed
    Score: 0.198
  11. Genomic basis of atrial fibrillation. Heart. 2018 02; 104(3):201-206.
    View in: PubMed
    Score: 0.182
  12. Atrial Fibrillation Genetic Risk and Ischemic Stroke Mechanisms. Stroke. 2017 06; 48(6):1451-1456.
    View in: PubMed
    Score: 0.177
  13. Genetic Risk Prediction of Atrial Fibrillation. Circulation. 2017 Apr 04; 135(14):1311-1320.
    View in: PubMed
    Score: 0.171
  14. Research Priorities in Atrial Fibrillation Screening: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop. Circulation. 2021 01 26; 143(4):372-388.
    View in: PubMed
    Score: 0.057
  15. Clinical Application of a Novel Genetic Risk Score for Ischemic Stroke in Patients With Cardiometabolic Disease. Circulation. 2021 02 02; 143(5):470-478.
    View in: PubMed
    Score: 0.057
  16. Novel Risk Modeling Approach of Atrial Fibrillation With Restricted Mean Survival Times: Application in the Framingham Heart Study Community-Based Cohort. Circ Cardiovasc Qual Outcomes. 2020 04; 13(4):e005918.
    View in: PubMed
    Score: 0.054
  17. Refining the Association Between Body Mass Index and Atrial Fibrillation: G-Formula and Restricted Mean Survival Times. J Am Heart Assoc. 2019 08 20; 8(16):e013011.
    View in: PubMed
    Score: 0.052
  18. Publisher Correction: Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes. Nat Genet. 2019 Jul; 51(7):1192-1193.
    View in: PubMed
    Score: 0.051
  19. Multi-ethnic genome-wide association study for atrial fibrillation. Nat Genet. 2018 06 11; 50(9):1225-1233.
    View in: PubMed
    Score: 0.048
  20. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes. Nat Genet. 2018 04; 50(4):524-537.
    View in: PubMed
    Score: 0.047
  21. Erratum: Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation. Nat Genet. 2017 07 27; 49(8):1286.
    View in: PubMed
    Score: 0.045
  22. Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation. Nat Genet. 2017 Jun; 49(6):946-952.
    View in: PubMed
    Score: 0.044
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.