Title of article :
Computational Advances in Cardiovascular Health
Author/Authors :
Monlezun, Dominique J Department of Cardiology - University of Texas M.D. Anderson Cancer Center - Houston, USA , Nordio, Francesco Department of Medicine - Brigham and Women’s Hospital - Harvard University - Boston, USA , Niu, Tianhua Department of Medicine - Tulane University School of Medicine - New Orleans, USA
Abstract :
Cardiovascular disease (CVD) is the world’s top mortality
cause, accounting for 1 in 3 deaths and 1 in 5 dollars of the
American healthcare system. Patients deserve more effective,
affordable, equitable care—and now—yet we in the clinical
and research community struggle to accelerate the rate of
reliable and replicable results to keep pace with this growing
global epidemic. Computational advances in statistics and
machine learning are increasingly bridging the informatics
and physiological pipeline uniting precision medicine and
population health, getting us thankfully closer to adequately
addressing patient needs.
Keywords :
Cardiovascular , CVD , CFD
Journal title :
Computational and Mathematical Methods in Medicine
