Application of machine learning to determine top predictors of noncalcified coronary burden in psoriasis: An observational cohort study.

Background: Psoriasis is associated with elevated risk of heart attack and increased accumulation of subclinical noncalcified coronary burden by coronary computed tomography angiography (CCTA). Machine learning algorithms have been shown to effectively analyze well-characterized data sets.Objective:...

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Publicado en:	Journal of the American Academy of Dermatology Vol. 83; no. 6; pp. 1647 - 1654
Autores principales:	Munger, Eric, Choi, Harry, Dey, Amit K., Elnabawi, Youssef A., Groenendyk, Jacob W., Rodante, Justin, Keel, Andrew, Aksentijevich, Milena, Reddy, Aarthi S., Khalil, Noor, Argueta-Amaya, Jenis, Playford, Martin P., Erb-Alvarez, Julie, Tian, Xin, Wu, Colin, Gudjonsson, Johann E., Tsoi, Lam C., Jafri, Mohsin Saleet, Sandfort, Veit, Chen, Marcus Y.
Formato:	research tables/charts Journal Article
Publicado:	Elsevier B.V. Dec2020
Acceso en línea:	Ver este registro en EBSCOhost