Big Data and ASCVD Risk Prediction: Building a Better Mouse Trap?

Khurram Nasir; Andrew DeFilippis

doi:10.1016/j.jacc.2022.01.020

Big Data and ASCVD Risk Prediction: Building a Better Mouse Trap?

J Am Coll Cardiol. 2022 Mar 29;79(12):1167-1169. doi: 10.1016/j.jacc.2022.01.020.

Authors

Khurram Nasir¹, Andrew DeFilippis²

Affiliations

¹ Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA; Center for Cardiovascular Computational and Precision Health (C3-PH) and Center for Outcomes Research, Houston Methodist, Houston, Texas, USA. Electronic address: knasir@houstonmethodist.org.
² Division of Cardiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

PMID: 35331411
DOI: 10.1016/j.jacc.2022.01.020

No abstract available

Keywords: biobank; coronary artery disease; electronic health record; machine learning; polygenic risk score; pooled cohort equations; prevention.

Publication types

Editorial
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Comment

MeSH terms

Animals
Atherosclerosis*
Big Data
Coronary Artery Disease*
Humans
Mice

Publication types

MeSH terms

Grants and funding