Big Data and ASCVD Risk Prediction: Building a Better Mouse Trap?
- PMID: 35331411
- DOI: 10.1016/j.jacc.2022.01.020
Big Data and ASCVD Risk Prediction: Building a Better Mouse Trap?
Keywords: biobank; coronary artery disease; electronic health record; machine learning; polygenic risk score; pooled cohort equations; prevention.
Conflict of interest statement
Funding Support and Author Disclosures Dr Nasir is funded by NIH grant 1R01HL158976-01, Esperion, Novartis, and the Jerold B. Katz Academy of Translational Research; and is on the advisory board of Amgen, Novartis, Novo Nordisk, and Esperion. Dr DeFilippis is funded by NIH grants 1R01HL158976-01, 1R01ES029846-01, 2U54HL120163, 2R01 ES019217-06, and R01 HL152081.
Comment on
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Coronary Risk Estimation Based on Clinical Data in Electronic Health Records.J Am Coll Cardiol. 2022 Mar 29;79(12):1155-1166. doi: 10.1016/j.jacc.2022.01.021. J Am Coll Cardiol. 2022. PMID: 35331410 Free PMC article.
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