TY  - GEN
AU  - Sanchez-Cabo, Fatima
AU  - Rossello, Xavier
AU  - Fuster, Valentin
AU  - de Benito, Fernando M
AU  - Manzano, Jose Pedro
AU  - Silla-Castro, Juan Carlos
AU  - Fernandez-Alvira, Juan Miguel
AU  - Oliva, Belen
AU  - Fernandez-Friera, Leticia
AU  - Lopez-Melgar, Beatriz
AU  - Mendiguren, Jose M
AU  - Sanz, Javier
AU  - Ordovas, Jose M
AU  - Andres, Vicente
AU  - Fernandez-Ortiz, Antonio
AU  - Bueno, Hector
AU  - Ibáñez, Borja
AU  - Garcia-Ruiz, Jose M
AU  - Lara-Pezzi, Enrique
PY  - 2020
DO  - 10.1016/j.jacc.2020.08.017
SN  - 0735-1097
UR  - http://hdl.handle.net/20.500.12105/11236
AB  - BACKGROUND: Clinical practice guidelines recommend assessment of subclinical atherosclerosis using imaging techniques in individuals with intermediate atherosclerotic cardiovascular risk according to standard risk prediction tools. OBJECTIVES: The...
LA  - eng
PB  - Elsevier
KW  - ASCVD
KW  - Atherosclerosis
KW  - Cardiovascular risk scores
KW  - Machine-learning
KW  - Subclinical
KW  - Cardiovascular Diseases
KW  - Male
KW  - Prospective Studies
KW  - Adult
KW  - Female
KW  - Risk Factors
KW  - Humans
KW  - Middle Aged
KW  - Asymptomatic Diseases
KW  - Machine Learning
TI  - Machine Learning Improves Cardiovascular Risk Definition for Young, Asymptomatic Individuals
TY  - research article
ER  -